CN105430331A - Method and device for adjusting monitor image display direction - Google Patents

Abstract

The invention provides a method and device for adjusting a display direction of a monitor image. The method comprises the steps of acquiring a reference line of an original monitor image; calculating an adjusting direction and an adjusting angle for the original monitor image according to the reference line; converting original image coordinates of each pixel point of the original monitor image into target image coordinates according to the adjusting direction and the adjusting angle; and displaying each pixel point in the original monitor image according to the target image coordinates, so as to realize adjustment of the display direction of the original monitor image. Through adoption of the method for adjusting the display direction of the monitor image, problems such as incline of the monitor image caused by wrong installation of a monitor camera are solved, and the user experience is improved. In addition, the installation angle of the monitor camera is not readjusted in the whole process, so that the display direction of the monitor image can be adjusted conveniently.

Description

Method and device for adjusting monitor image display direction

technical field

The present application relates to the field of video surveillance, in particular to a method and device for adjusting the display direction of surveillance images.

Background technique

With the rapid development of video surveillance technology, the forms of surveillance cameras are becoming more and more diverse. While meeting the monitoring needs of different application scenarios, it also increases the difficulty of installation virtually. In actual engineering construction, the construction environment is usually relatively complicated. If the construction personnel do not install the monitoring camera properly, it will cause problems such as tilting of the monitoring screen of the client, which will affect the user experience.

Contents of the invention

In view of this, the present application provides a method and device for adjusting the display direction of a monitoring image, so as to solve the problem of tilting of the monitoring image caused by improper installation.

Specifically, this application is achieved through the following technical solutions:

A method for adjusting the display direction of a monitoring image, the method comprising:

Obtain the baseline of the original surveillance image;

calculating an adjustment direction and an adjustment angle for the original monitoring image according to the baseline;

converting the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle;

Each pixel in the original surveillance image is displayed based on the coordinates of the target image, so as to realize the adjustment of the display direction of the original surveillance image.

A device for adjusting the display direction of a monitoring image, the device comprising:

an acquisition unit, configured to acquire the baseline of the original monitoring image;

a calculation unit, configured to calculate an adjustment direction and an adjustment angle for the original monitoring image according to the reference line;

a conversion unit, configured to convert the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle;

A restoring unit, configured to display each pixel in the original surveillance image based on the coordinates of the target image, so as to adjust the display direction of the original surveillance image.

It can be seen from the above description that the present application can calculate the adjustment direction and adjustment angle for the original monitoring image according to the baseline of the original monitoring image, and then adjust the original values of each pixel of the original monitoring image according to the adjustment direction and the adjustment angle. The image coordinates are converted into target image coordinates, and each pixel in the original surveillance image is displayed based on the target image coordinates, so as to realize the adjustment of the display direction of the original surveillance image, thereby solving the problem of surveillance images caused by improper installation of surveillance cameras Tilt and other issues to improve user experience. At the same time, there is no need to re-adjust the installation angle of the surveillance camera during the whole process, which is convenient.

Description of drawings

Fig. 1 is a schematic flowchart of a method for adjusting the display direction of a surveillance image shown in an exemplary embodiment of the present application.

Fig. 2 is a schematic flowchart of another method for adjusting the display direction of a surveillance image shown in an exemplary embodiment of the present application.

Fig. 3 is a schematic diagram of a baseline of an original image shown in an exemplary embodiment of the present application.

Fig. 4 is a schematic diagram of another original image baseline shown in an exemplary embodiment of the present application.

Fig. 5 is a schematic diagram of another original image baseline shown in an exemplary embodiment of the present application.

Fig. 6 is a schematic diagram of another original image baseline shown in an exemplary embodiment of the present application.

Fig. 7 is a schematic diagram of another original image baseline shown in an exemplary embodiment of the present application.

Fig. 8 is a schematic diagram of another original image baseline shown in an exemplary embodiment of the present application.

Fig. 9 is a schematic diagram of another original image baseline shown in an exemplary embodiment of the present application.

Fig. 10 is a schematic diagram of an image coordinate system and a screen coordinate system shown in an exemplary embodiment of the present application.

Fig. 11 is a schematic diagram of converting original screen coordinates into target screen coordinates according to an exemplary embodiment of the present application.

Fig. 12 is a schematic structural diagram of a device for adjusting the display direction of a surveillance image shown in an exemplary embodiment of the present application.

Fig. 13 is a schematic structural diagram of a device for adjusting the display direction of a surveillance image according to an exemplary embodiment of the present application.

detailed description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and/or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second information may also be called first information. Depending on the context, the word "if" as used herein may be interpreted as "at" or "when" or "in response to a determination."

Fig. 1 is a schematic flowchart of a method for adjusting the display direction of a surveillance image shown in an exemplary embodiment of the present application.

Please refer to Figure 1, the method for adjusting the display direction of the monitoring image can be applied to the monitoring decoding client, including:

Step 101, acquiring a baseline of an original surveillance image.

The original surveillance image is the surveillance image displayed by the surveillance camera after installation. In this embodiment, due to poor installation of the surveillance camera, for example, the installation angle is tilted, the original surveillance image is usually a surveillance image with a tilted screen.

In this embodiment, the debugger or the user may draw a baseline for the original monitoring image according to the inclination of the original monitoring image. The reference line is parallel to the ground direction of the original surveillance image, and the direction of the reference line is the direction from left to right based on the ground below in the visual habit.

In this embodiment, the start point coordinates and the end point coordinates of the reference line can be acquired, wherein the start point coordinates and the end point coordinates can be the screen coordinates of the reference line based on the screen, or the reference line based on The image coordinates of the original surveillance image, which is not particularly limited in this application.

Step 102, calculating an adjustment direction and an adjustment angle for the original surveillance image according to the reference line.

Based on the aforementioned step 101, after the reference line of the original monitoring image is obtained, the adjustment direction and adjustment angle can be calculated for the original monitoring image according to the starting point coordinates, end point coordinates and trigonometric function formulas of the reference line. Wherein, the adjustment direction may include: clockwise and counterclockwise.

Step 103: Transform the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle.

In this embodiment, the original image coordinates of each pixel of the original monitoring image can be transformed into target image coordinates through coordinate transformation according to the adjustment direction and the adjustment angle, and each pixel of the original monitoring image is based on the corresponding The coordinates of the target image can form the target monitoring image corresponding to the original monitoring image, and the target image is an image with no screen tilt after adjustment.

Step 104: Display each pixel in the original monitoring image based on the coordinates of the target image, so as to adjust the display direction of the original monitoring image.

Based on the aforementioned step 103, after converting the original image coordinates of each pixel in the original monitoring image into target image coordinates, each pixel in the original monitoring image is displayed based on the target image coordinates, so as to realize the Adjust the display direction of the original surveillance image. Wherein, the pixel information of each target image coordinate is the pixel information corresponding to the original image coordinate.

It can be seen from the above description that the present application can calculate the adjustment direction and adjustment angle for the original monitoring image according to the baseline of the original monitoring image, and then adjust the original values of each pixel of the original monitoring image according to the adjustment direction and the adjustment angle. The image coordinates are converted into target image coordinates, and each pixel in the original surveillance image is displayed based on the target image coordinates, so as to realize the adjustment of the display direction of the original surveillance image, thereby solving the problem of surveillance images caused by improper installation of surveillance cameras Tilt and other issues to improve user experience. At the same time, there is no need to re-adjust the installation angle of the surveillance camera during the whole process, which is convenient.

Fig. 2 is a schematic flowchart of another method for adjusting the display direction of a surveillance image shown in an exemplary embodiment of the present application.

Please refer to Figure 2, the method for adjusting the display direction of the monitoring image can be applied to the monitoring decoding client, including:

Step 201, acquire the starting point coordinates and the ending point coordinates of the reference line of the original monitoring image.

In this embodiment, the original monitoring image is a monitoring picture displayed by the monitoring camera after installation, and the picture displayed by the original monitoring image is tilted.

In this embodiment, after the original monitoring image is displayed, prompt information for inputting the baseline can be output to the debugger or user, and the debugger or user can make a baseline for the original monitor image according to the prompt information. The reference line is parallel to the ground direction of the display screen in the original monitoring image, and the debugger or the user can draw the reference line from left to right based on the reference of the ground below in the visual habit. In this step, the starting point coordinates and end point coordinates of the reference line can be obtained, wherein the starting point coordinates and the end point coordinates can be the screen coordinates of the reference line based on the screen, or the reference line can be based on the original The image coordinates of the monitoring image are not particularly limited in this application.

In actual implementation, the debugger or the user can draw the baseline of the original monitoring image through a mouse, or draw the baseline through a touch screen or other input devices, which is not particularly limited in this application.

Step 202: Calculate an adjustment direction and an adjustment angle for the original surveillance image according to the starting point coordinates, the end point coordinates, and a trigonometric function formula.

In this embodiment, taking the coordinates of the start point and the coordinates of the end point as image coordinates based on the original monitoring image as an example, the process of calculating the adjustment direction and adjustment angle for the original monitoring image can be divided into the following seven situations:

The first situation: Please refer to Figure 3. In the baseline schematic diagram shown in Figure 3, the rectangle formed by ABCD is the display screen, point A is the origin of the image coordinate system of the original monitoring image, and AB is the image coordinate of the original monitoring image The positive direction of the Y axis of the system, AD is the positive direction of the X axis of the image coordinate system of the original monitoring image, the rectangle EFGH is the picture of the monitoring object in the inclined original monitoring image, and the line segment MN is the baseline of the original monitoring image , wherein, point M is the starting point of the reference line, and point N is the end point of the reference line (the above example is also applicable to the schematic diagrams of the subsequent reference lines in FIGS. In FIG. 3 , the ground in the original surveillance image is below the baseline MN and parallel to the baseline MN. It can be seen from Figure 3 that in order to prevent the original surveillance image from being tilted, it is necessary to rotate the original surveillance image by an angle θ clockwise, that is, the adjustment direction is clockwise, and the adjustment angle α is θ. In actual implementation, the adjustment direction and adjustment angle can be determined through the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), the adjustment angle Wherein, m=|X _N -X _M |, n=|Y _N -Y _M |. When X _N >X _M , and Y _N <Y _M , it can be determined that the adjustment direction is clockwise.

The second case: please refer to FIG. 4 . In the schematic diagram of the baseline shown in FIG. 4 , the ground in the original surveillance image is above the baseline MN and parallel to the baseline MN. It can be seen from Figure 4 that in order to keep the original surveillance image from tilting, it is necessary to rotate the original surveillance image by an angle of 180-θ counterclockwise, that is, the adjustment direction is counterclockwise, and the adjustment angle α is 180-θ. In actual implementation, the adjustment direction and adjustment angle may also be determined by the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), the adjustment angle Wherein, m=|X _N -X _M |, n=|Y _N -Y _M |. When X _N <X _M , and Y _N >Y _M , it can be determined that the adjustment direction is counterclockwise.

The third case: please refer to FIG. 5 , in the schematic diagram of the baseline shown in FIG. 5 , the ground in the original surveillance image is above the baseline MN and parallel to the baseline MN. It can be seen from Figure 5 that in order to prevent the original surveillance image from being tilted, it is necessary to rotate the original surveillance image by an angle of 180-θ clockwise, that is, the adjustment direction is clockwise, and the adjustment angle α is 180-θ. In actual implementation, the adjustment direction and adjustment angle may also be determined by the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), the adjustment angle Wherein, m=|X _N -X _M |, n=|Y _N -Y _M |. When X _N <X _M , and Y _N <Y _M , it can be determined that the adjustment direction is counterclockwise.

The fourth situation: Please refer to FIG. 6 . In the schematic diagram of the baseline shown in FIG. 6 , the ground in the original surveillance image is below the baseline MN and parallel to the baseline MN. It can be seen from Figure 6 that in order to prevent the original surveillance image from being tilted, it is necessary to rotate the original surveillance image counterclockwise by an angle θ, that is, the adjustment direction is counterclockwise, and the adjustment angle α is θ. In actual implementation, the adjustment direction and adjustment angle may also be determined by the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), the adjustment angle Wherein, m=|X _N -X _M |, n=|Y _N -Y _M |. When X _N >X _M , and Y _N >Y _M , it can be determined that the adjustment direction is counterclockwise.

The fifth situation: Please refer to FIG. 7 . In the schematic diagram of the baseline shown in FIG. 7 , the ground in the original surveillance image is on the left side of the baseline MN and is parallel to the baseline MN. It can be seen from Fig. 7 that in order to prevent the original surveillance image from being tilted, the original surveillance image needs to be rotated 90 degrees counterclockwise, that is, the adjustment direction is counterclockwise, and the adjustment angle α is 90 degrees. In actual implementation, the adjustment direction may also be determined by the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), then when X _M =X _N , but Y _N >Y _M , the adjustment direction can be confirmed For the counterclockwise direction, the adjustment angle is 90 degrees.

The sixth situation: please refer to FIG. 8 , in the schematic diagram of the baseline shown in FIG. 8 , the ground in the original surveillance image is on the right side of the baseline MN, and is parallel to the baseline MN. It can be seen from Fig. 8 that in order to prevent the original surveillance image from being tilted, the original surveillance image needs to be rotated 90 degrees clockwise, that is, the adjustment direction is clockwise, and the adjustment angle α is 90 degrees. In actual implementation, the adjustment direction may also be determined by the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), then when X _M =X _N , but Y _N <Y _M , the adjustment direction can be confirmed For the clockwise direction, the adjustment angle is 90 degrees.

The seventh case: please refer to FIG. 9 , in the schematic diagram of the baseline shown in FIG. 9 , the ground in the original surveillance image is above the baseline MN and parallel to the baseline MN. It can be seen from Figure 9 that in order to prevent the original surveillance image from being tilted, the original surveillance image needs to be rotated 180 degrees clockwise or counterclockwise, that is, the adjustment direction is clockwise or counterclockwise, and the adjustment angle α is 180 degrees . In actual implementation, the adjustment direction may also be determined by the coordinates of the M point and the N point. Specifically, assuming that the coordinates of point M are (X _M , Y _M ), and the coordinates of point N are (X _N , Y _N ), then when Y _M =Y _N , but X _N <X _M , the adjustment direction can be confirmed It is clockwise or counterclockwise, and the adjustment angle is 180 degrees.

It is worth noting that the above seven situations are only exemplary descriptions. In actual implementation, according to different input rules of the baseline, different methods can also be used to calculate the adjustment direction and adjustment angle for the original monitoring image. This application There are no particular restrictions on this.

Step 203, converting the original image coordinates of each pixel of the original monitoring image into original screen coordinates.

In this embodiment, conversion between image coordinates and screen coordinates is involved. Please refer to Figure 10, a schematic diagram of an image coordinate system and a screen coordinate system in the present application. The rectangle formed by ABCD is the display screen. In the image coordinate system, point A is the origin of the image coordinate system of the original monitoring image, and AB is the original monitoring image. The positive direction of the Y axis of the image coordinate system of the image, and AD is the positive direction of the X axis of the image coordinate system of the original monitoring image. In the screen coordinate system, the center point O of the screen is the origin of the screen coordinate system, the horizontal direction to the right is the positive direction of the X-axis, and the vertical upward direction is the positive direction of the Y-axis.

In this embodiment, the height of the original monitoring image is the height of the screen, that is, the height H of the original monitoring image is the _length of AB, and the width of the original monitoring image is the width of the screen, that is, the width W of the original monitoring _image is AD. length. Assume that the original image coordinates of each pixel of the original monitoring image in the image coordinate system are (X ₀ , Y ₀ ), and the original screen coordinates of each pixel of the original monitoring image in the screen coordinate system are (X ₁ , Y ₁ ), Then there is the following mapping relationship between the original image coordinates and the original screen coordinates:

$\left\{\begin{array}{c}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\\ {\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\end{array}\right.$

In this step, the original image coordinates of each pixel of the original monitoring image may be converted into original screen coordinates according to the above mapping relationship.

Step 204 , calculating target screen coordinates of each pixel of the original monitoring image based on the adjustment direction, adjustment angle and the original screen coordinates.

Based on the aforementioned step 203, after obtaining the original screen coordinates of each pixel of the original monitoring image, the target screen coordinates of each pixel of the original monitoring image can be calculated according to the adjustment direction and adjustment angle calculated in step 202. The target screen coordinates are the screen coordinates of each pixel of the original monitoring image after adjustment based on the adjustment direction and adjustment angle.

Taking the adjustment direction as clockwise and the adjustment angle as θ as an example, please refer to Fig. 11, assuming that the original screen coordinates of a certain pixel point K in the original surveillance image are (X ₁ , Y ₁ ), based on the The coordinates of the target screen after the adjustment angle and the adjustment direction are rotated are (X ₂ , Y ₂ ), please refer to Figure 11, and according to the trigonometric function formula, the following relationship can be obtained:

$\left\{\begin{array}{c}{x}_1=r\&times;\cos \mathrm{\&beta;}\\ Y_1=r\&times;\sin \mathrm{\&beta;}\end{array}\right.$ as well as $\left\{\begin{array}{c}{x}_2=r\&times;\cos (\mathrm{\&beta;}-\mathrm{\&theta;})\\ Y_2=r\&times;\sin (\mathrm{\&beta;}-\mathrm{\&theta;})\end{array}\right.$

According to the above relationship, the transformation relationship between the original screen coordinates and the target screen coordinates can be obtained as follows:

$\left\{\begin{array}{c}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}\\ {\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}\end{array}\right.$

According to the above transformation relationship, the target screen coordinates of each pixel of the original monitoring image can be calculated. When the adjustment direction is counterclockwise and the adjustment angle is θ or 180-θ, the target screen coordinates of each pixel of the original monitoring image can be calculated by referring to the above method, and the present application will not describe them one by one here. repeat.

Step 205, restoring the target screen coordinates to target image coordinates.

In this embodiment, the target image coordinates are the image coordinates of each pixel in the original surveillance image after rotation adjustment. Assuming that the height of the original surveillance image after rotation and adjustment is H ₁ , the width is W ₁ , and the target image coordinates of each pixel of the original surveillance image are (X ₃ , Y ₃ ), then the target image The mapping relationship between the coordinates and the target screen coordinates is as follows:

$\left\{\begin{array}{c}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\\ {\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\end{array}\right.$

In this step, the target screen coordinates of each pixel of the original monitoring image can be restored to the target image coordinates based on the above mapping relationship.

Step 206: Display each pixel in the original monitoring image based on the coordinates of the target image, so as to adjust the display direction of the original monitoring image.

In this embodiment, when displaying the original monitoring image, each pixel in the original monitoring image is displayed based on the target image coordinates of each pixel in the original monitoring image calculated in the preceding steps, so as to realize the original Monitor image display direction adjustment.

In this step, the pixel information of the target image coordinates is the corresponding pixel information of the original image coordinates, and the pixel information may include: RGB data and the like.

It can be seen from the above description that the present application can calculate the adjustment direction and adjustment angle for the original monitoring image according to the baseline of the original monitoring image, and then adjust the original values of each pixel of the original monitoring image according to the adjustment direction and the adjustment angle. The image coordinates are converted into target image coordinates, and each pixel in the original surveillance image is displayed based on the target image coordinates, so as to realize the adjustment of the display direction of the original surveillance image, thereby solving the problem of surveillance images caused by improper installation of surveillance cameras Tilt and other issues to improve user experience. At the same time, there is no need to re-adjust the installation angle of the surveillance camera during the whole process, which is convenient.

The foregoing embodiments of the present application describe that the original surveillance image is displayed after adjustment. Optionally, in another example of the present application, the original surveillance video is displayed according to the original frame rate to display the surveillance image after adjusting the display direction, so as to realize Adjustments to the orientation of the original surveillance video display. For example, assuming that the original monitoring video includes 100 frames of original monitoring images, and the original frame rate is F, the target image coordinates of each pixel in each original monitoring image can be calculated in turn. For the convenience of description, based on The image formed after the coordinates of the target image display each pixel in the original monitoring image is called a target monitoring image, and the 100 frames of original monitoring images correspond to 100 frames of target monitoring images. In this embodiment, the original The frame rate F sequentially displays the 100 frames of target surveillance images, so as to adjust the display direction of the original surveillance video.

Optionally, in another example of the present application, when performing the coordinate transformation of each pixel in the original monitoring image, the mapping relationship between the original image coordinates and the original screen coordinates, and the relationship between the original screen coordinates and the target screen coordinates can also be used. The mapping relationship between the target image coordinates and the target screen coordinates, the following rotation matrix can be used for coordinate transformation:

$\begin{array}{c}\left[\begin{array}{ccc}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}& {\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}& \mathrm{<span\; class="notranslate">\; 1</span>}\end{array}\right]<span\; class="notranslate">\; =</span>\\ \left[\begin{array}{ccc}\mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}& \mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ <span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}& \mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}& \mathrm{<span\; class="notranslate">\; 0</span>}\\ <span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& <span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& \mathrm{<span\; class="notranslate">\; 1</span>}\end{array}\right]\end{array}$

The original image coordinates of each pixel of the original monitoring image have been converted into target image coordinates, and then the original image coordinates corresponding to each target image coordinate are determined according to the following restoration matrix:

$\begin{array}{c}\left[\begin{array}{ccc}{x}_0& Y_0& 1\end{array}\right]=\\ \left[\begin{array}{ccc}\cos \mathrm{\&theta;}& -\sin \mathrm{\&theta;}& 0\\ \sin \mathrm{\&theta;}& \cos \mathrm{\&theta;}& 0\\ -0.5W_1\cos \mathrm{\&theta;}-0.5h_1\sin \mathrm{\&theta;}+0.5W_0& 0.5W_1\sin \mathrm{\&theta;}-0.5h_1\cos \mathrm{\&theta;}+0.5h_0& 1\end{array}\right]\end{array},$ To obtain and display the pixel information of the original coordinate image corresponding to the target image coordinates.

Corresponding to the foregoing embodiments of the method for adjusting the display direction of a surveillance image, the present application also provides embodiments of an apparatus for adjusting the display direction of a surveillance image.

The embodiment of the device for adjusting the display direction of a surveillance image in this application can be applied to a surveillance decoding client. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, it is formed by reading the corresponding computer program instructions in the non-volatile memory into the memory for operation through the processor of the monitoring and decoding client where it is located. From the hardware level, as shown in Figure 12, it is a hardware structure diagram of the monitoring and decoding client where the device for adjusting the display direction of the monitoring image is located, except for the processor, memory, network interface, and non-volatile memory shown in Figure 12 In addition to the volatile memory, the monitoring and decoding client of the device in the embodiment usually may include other hardware according to the actual function of the monitoring and decoding client, which will not be repeated here.

Fig. 13 is a schematic structural diagram of a device for adjusting the display direction of a surveillance image according to an exemplary embodiment of the present application.

Please refer to FIG. 13 , the device 1200 for adjusting the display direction of surveillance images can be applied to the surveillance decoding client shown in FIG. adjustment unit 1205 .

Wherein, the acquiring unit 1201 is configured to acquire the baseline of the original surveillance image;

The calculation unit 1202 is configured to calculate an adjustment direction and an adjustment angle for the original monitoring image according to the reference line;

The conversion unit 1203 is configured to convert the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle;

The 1204 restoration unit is configured to display each pixel in the original surveillance image based on the coordinates of the target image, so as to adjust the display direction of the original surveillance image.

Optionally, the reference line is parallel to the ground direction of the original surveillance image;

The acquiring unit 1201 specifically acquires the starting point coordinates and the ending point coordinates of the reference line of the original monitoring image;

The calculation unit 1202 specifically calculates an adjustment direction and an adjustment angle for the original monitoring image according to the starting point coordinates, the end point coordinates and trigonometric function formulas.

Optionally, the conversion unit 1203 specifically converts the original image coordinates of each pixel of the original monitoring image into original screen coordinates;

calculating target screen coordinates of each pixel of the original monitoring image based on the adjustment direction, adjustment angle, and the original screen coordinates;

Revert the target screen coordinates to target image coordinates.

The video adjustment unit 1205 is configured to, for each frame of the original surveillance image in the original surveillance video, display the surveillance image after display orientation adjustment according to the original frame rate.

Optionally, the pixel information of the target image coordinates is pixel information corresponding to the original image coordinates.

For the implementation process of the functions and effects of each unit in the above device, please refer to the implementation process of the corresponding steps in the above method for details, and will not be repeated here.

As for the device embodiment, since it basically corresponds to the method embodiment, for related parts, please refer to the part description of the method embodiment. The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. It can be understood and implemented by those skilled in the art without creative effort.

The above is only a preferred embodiment of the application, and is not intended to limit the application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the application should be included in the application. within the scope of protection.

Claims (10)

1. A method for adjusting the display direction of a monitoring image, characterized in that the method comprises: Obtain the baseline of the original surveillance image; calculating an adjustment direction and an adjustment angle for the original monitoring image according to the baseline; converting the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle; Each pixel in the original surveillance image is displayed based on the coordinates of the target image, so as to realize the adjustment of the display direction of the original surveillance image. 2. The method of claim 1, wherein, The reference line is parallel to the ground direction of the original monitoring image; The baseline for obtaining the original monitoring image includes: Obtain the starting point coordinates and end point coordinates of the reference line of the original monitoring image; The calculating the adjustment direction and the adjustment angle for the original monitoring image according to the reference line includes: calculating an adjustment direction and an adjustment angle for the original monitoring image according to the starting point coordinates, the end point coordinates, and a trigonometric function formula. 3. The method according to claim 1, wherein converting the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle comprises: converting the original image coordinates of each pixel of the original monitoring image into original screen coordinates; calculating target screen coordinates of each pixel of the original monitoring image based on the adjustment direction, adjustment angle, and the original screen coordinates; Revert the target screen coordinates to target image coordinates. 4. The method according to claim 1, wherein the method further comprises: For each frame of the original surveillance image in the original surveillance video, the surveillance image after display direction adjustment is displayed according to the original frame rate. 5. The method of claim 1, wherein, The pixel information of the target image coordinates is pixel information corresponding to the original image coordinates. 6. A device for adjusting the display direction of a monitoring image, characterized in that the device comprises: an acquisition unit, configured to acquire the baseline of the original monitoring image; a calculation unit, configured to calculate an adjustment direction and an adjustment angle for the original monitoring image according to the reference line; a conversion unit, configured to convert the original image coordinates of each pixel of the original monitoring image into target image coordinates according to the adjustment direction and the adjustment angle; A restoring unit, configured to display each pixel in the original surveillance image based on the coordinates of the target image, so as to adjust the display direction of the original surveillance image. 7. The device of claim 6, wherein: The reference line is parallel to the ground direction of the original monitoring image; The acquiring unit specifically acquires the starting point coordinates and the ending point coordinates of the reference line of the original monitoring image; The calculation unit specifically calculates an adjustment direction and an adjustment angle for the original monitoring image according to the starting point coordinates, the end point coordinates, and trigonometric function formulas. 8. The device of claim 6, wherein: The conversion unit specifically converts the original image coordinates of each pixel of the original monitoring image into original screen coordinates; calculating target screen coordinates of each pixel of the original monitoring image based on the adjustment direction, adjustment angle, and the original screen coordinates; Revert the target screen coordinates to target image coordinates. 9. The device according to claim 6, further comprising: The video adjustment unit is used for displaying the surveillance image after display direction adjustment according to the original frame rate for each frame of the original surveillance image in the original surveillance video. 10. The apparatus of claim 6, wherein: The pixel information of the target image coordinates is pixel information corresponding to the original image coordinates.