CN103034373B - The automatic selecting method of battle array camera positioning image effective coverage, face and system - Google Patents
The automatic selecting method of battle array camera positioning image effective coverage, face and system Download PDFInfo
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Abstract
The invention provides automatic selecting method and the system of a kind of battle array camera positioning image effective coverage.Described method comprises step: take original system of battle formations picture and carried out binary conversion treatment; Screen correction point is set on the display screen, obtains the lateral attitude of screen correction point in original system of battle formations picture; Centered by this lateral attitude, left and right with one set width value as width sets little graph region; In little graph region, extract noise section and be divided into upper and lower two parts; Extract a rectangular area between this two parts noise as target rectangle; Real-time Collection has touch objects to touch the image clicking screen correction point, obtains two hot spots up and down of target approach rectangle, determines the effective pickup area of image according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots.The present invention carries out adjusting to camera hardware location without the need to professional and technical personnel can background extraction frame is corresponding again black image region, and obtains the position of target background block diagram picture.
Description
Technical field
The present invention relates to touch screen camera location technology, be specifically related to automatic selecting method and the system of a kind of battle array camera positioning image effective coverage.
Background technology
The features such as camera location technology is high with its frame per second, and structure is simple, occupy critical role in touching technique field at present.Face battle array camera location technology adopts common area array CCD/CMOS photosensitive part as image acquisition element, pass through optimum configurations, from the ccd image of whole large resolution, gather the arrowband image output that less the comprising of size touches hot spot, as the original image of follow-up location spot identification.Its arrowband image selected is all generally the touch frame that correspond to positioning equipment, for the situation of details in a play not acted out on stage, but told through dialogues speck, when there being touching object to enter in posting, camera can photograph the reflected light of touch objects, and to touch frame be black background region, as disclosed a kind of touch-screen locating device and touch-screen localization method in Chinese patent 200910039966.5, this technical scheme arranges wide-angle camera at any drift angle of display screen, two dark light absorbent frames lay respectively on the display screen frame of the adjacent both sides of described wide-angle camera, and plane that is vertical and described display screen, described two plane mirror frames lay respectively on the display screen frame of both sides, described wide-angle camera opposite, and plane that is vertical and described display screen.But face battle array camera location technology belongs to optical locating techniques, the background frame image that camera will be caused when certain variation occurs in the position of camera to export according to preceding parameters is not face background frame, or parts of images can not face background frame, may there is neighbourhood noise in the background frame image thus photographed.As shown in Figure 2, for original the system of battle formations picture that camera photographs, the region of turning white in figure is neighbourhood noise light, centre comparatively blackboard is divided into and photographs background frame part, as shown in Figure 3, normal touch situation is, by optimum configurations, makes the background frame image of four white line encirclements in camera collection Fig. 3 as touch location original background block diagram picture.If but in practical application, camera is subjected to displacement, picture position may be caused to change, and previous acquisition parameter does not change, thus make the original background block diagram picture collected not drop on region corresponding to positioning frame.As shown in Figure 4, integral image is moved, the part that four white lines are surrounded has departed from region corresponding to background frame.When there being real touching object to enter touch area, camera can not identify and export real touch hot spot, causes background frame to touch.In order to solve the problem, a kind of method is the method adopting adjustment camera hardware location, the background frame image that camera is taken is again just to the narrow frame of background frame, but this method complicated operation, technical requirement is high, generally be only suitable for professional and technical personnel, and generally all cannot operate as the user of non-patent technology personnel, add the difficulty of later maintenance.
Summary of the invention
Primary and foremost purpose of the present invention is to overcome shortcomings and deficiencies of the prior art, provides a kind of automatic selecting method automatically can selecting the battle array camera positioning image effective coverage, face of effective touch area.
Another object of the present invention is also the automatic selective system providing a kind of battle array camera positioning image effective coverage.
Object of the present invention is achieved through the following technical solutions:
An automatic selecting method for battle array camera positioning image effective coverage, comprises the steps:
Take original system of battle formations picture and carried out binary conversion treatment;
Screen correction point is set on the display screen, obtains the lateral attitude of screen correction point in original system of battle formations picture;
Centered by the lateral attitude of screen correction point, left and right sets width value as width with one, setting one little graph region;
In little graph region, extract noise section and be divided into upper and lower two parts;
Extract a rectangular area between upper and lower two parts noise as target rectangle;
Real-time Collection has touch objects to touch the image clicking screen correction point, obtain two hot spots up and down in target approach rectangle, according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots, determine to touch the effective pickup area of positioning image according to collection baseline value.
An automatic selective system for battle array camera positioning image effective coverage, is characterized in that, comprising:
Image acquisition units, for shooting and binary conversion treatment original system of battle formations picture and live touch image, and original system of battle formations picture is transferred to screen correction point setup unit and by live touch image transmitting to effective pickup area acquiring unit;
Screen correction point setup unit, for arranging screen correction point on the display screen, and obtains this screen correction point lateral attitude in original system of battle formations picture and is transferred to little graph region setup unit;
Little graph region setup unit, for centered by the lateral attitude of screen correction point, left and right sets width value as width with one, and setting one little graph region is transferred to noise section extraction unit;
Noise section extraction unit, is transferred to target rectangle acquiring unit for extracting noise section and be divided into upper and lower two parts in little graph region;
Target rectangle acquiring unit, for extracting a rectangular area between upper and lower two parts noise as target rectangle;
Effective pickup area acquiring unit, for receiving live touch image, and according to two hot spots up and down had in the Image Acquisition target approach rectangle of touch objects touch click screen correction point, according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots, determine to touch the effective pickup area of positioning image according to collection baseline value.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
First the present invention gathers the screen correction point of original image to setting and positions, from original system of battle formations picture, a little graph region is intercepted by centered by the screen correction point of setting, noise section in little graph region is extracted and is divided into upper and lower two parts, right position according to upper and lower two-part noise and little graph region obtains picture position corresponding to positioning frame---target rectangle, then continuous acquisition image, screen correction point is clicked by touch objects, and according to obtaining upper and lower two hot spots in target rectangle, when hot spot is met nearer, calculate the apical position of two hot spots, thus determine the collection baseline value of the background frame image that this screen correction point is corresponding, this collection baseline value is utilized to establish the effective coverage touching positioning image, realize based on image procossing, and be aided with the automatic selection that the operation clicking screen realizes face battle array camera image locating area, without the need to professional and technical personnel, camera hardware location is adjusted, only need again the black image region that background extraction frame (i.e. posting) is corresponding, and obtain the position of target background block diagram picture, dirigibility is strong, and without the need to relying on artificial adjustment, avoid personal error.
Accompanying drawing explanation
Fig. 1 is prior art one touch-screen locating device schematic diagram;
Fig. 2 photographs original the system of battle formations as schematic diagram in the present invention;
Fig. 3 is that normally original battle array image spot exports background frame image interception area schematic;
Fig. 4 exports background frame image interception area schematic for there is skew original battle array image spot;
Fig. 5 is the process flow diagram of the automatic selecting method embodiment of of the present invention battle array camera positioning image effective coverage;
Fig. 6 is screen correction point schematic diagram;
Fig. 7 is noise region and background frame image-region schematic diagram in original system of battle formations picture;
Fig. 8 is the process flow diagram of the automatic selecting method preferred embodiment of of the present invention battle array camera positioning image effective coverage;
Fig. 9 is the structural representation of the automatic selective system embodiment of of the present invention battle array camera positioning image effective coverage.
Embodiment
Below in conjunction with drawings and Examples, technical scheme of the present invention is described further, but embodiments of the present invention are not limited thereto.
As shown in Figure 1, for the structural representation of a touch-screen locating device in prior art, left and right, the lower frame of touch screen 101 posts the posting 301,302 and 303 of black light-absorbing material, camera 401 and 402 is arranged on upper side frame left and right corner, and camera 401 and 402 is taken visual angle and covered whole touch screen.For details in a play not acted out on stage, but told through dialogues speck situation, because posting adopts light absorbent, in the image of therefore camera shooting, image corresponding to the narrow limit of posting is black region, both sides outside this region, image may there is out-of-shape and the noise region that quantity, pixel size differ.These noises are all distributed in the both sides of the corresponding black image region of posting.This embodiment is adopted based on this hardware platform and is obtained black image region corresponding to posting with the following method, and obtains the position of target background block diagram picture.Due to concerning all cameras, technical scheme of the present invention is the same, and we adopt the upper left corner camera 401 in Fig. 1 to be illustrated for example here.
As shown in Figure 5, be the process flow diagram of the automatic selecting method embodiment of of the present invention battle array camera positioning image effective coverage.As shown in Figure 5, the automatic selecting method concrete steps of the battle array camera positioning image effective coverage, face of this embodiment comprise:
Step S201, takes original system of battle formations picture and is carried out binary conversion treatment; As shown in Figure 3, be original the system of battle formations picture photographed, the region of wherein turning white in figure is neighbourhood noise light, and centre comparatively blackboard is divided into and photographs posting part.
Step S202, arranges screen correction point on the display screen, obtains the lateral attitude of screen correction point in original system of battle formations picture;
As shown in Figure 6, be screen correction point schematic diagram, wherein P is screen correction point, and C is camera, and aix is camera optical axis position.Screen correction point P empirically sets, and generally gets the position that camera is convenient to take.The position of camera C can read from positional parameter, thus the deflection angle of straight line CP can be determined, and the deflection angle of the optical axis aix of camera C also can read from positional parameter, thus the screen coordinate of parameter in conjunction with screen correction point of original system of battle formations picture can be gathered according to mathematics geometric transformation and camera c, calculate screen correction point P point when being touched, lateral attitude, hot spot place in original system of battle formations picture.
Step S203, centered by the lateral attitude of screen correction point, left and right sets width value as width with one, setting one little graph region A0; Width value wherein rule of thumb sets.Due to the region that little graph region A0 is centered by screen correction point, when there being the screen correction point in touch objects touch display screen curtain, in little graph region A0, the hot spot of felt pen will be there is.
Step S204, extracts noise section and is divided into upper and lower two parts in little graph region.
Step S205, extracts a rectangular area between upper and lower two parts noise as target rectangle.
Step S206, Real-time Collection has touch objects to touch the image clicking screen correction point, obtain two hot spots up and down in target approach rectangle, according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots, determine to touch the effective pickup area of positioning image according to collection baseline value.
Accordingly, according to the technical scheme of this specific embodiment, first gather the screen correction point of original system of battle formations picture to setting to position, from original system of battle formations picture, a little graph region is intercepted by centered by the screen correction point of setting, noise section in little graph region is extracted and is divided into upper and lower two parts, right position according to upper and lower two-part noise and little graph region obtains picture position corresponding to positioning frame---target rectangle, then continuous acquisition image, screen correction point is clicked by touch objects, and according to obtaining upper and lower two hot spots in target rectangle, when hot spot is met nearer, calculate the location of pixels at the place, top of two hot spots, thus determine the collection baseline value of the background frame image that this screen correction point is corresponding, this collection baseline value is utilized to establish the effective pickup area touching positioning image, realize based on image procossing, and be aided with the automatic selection that the operation clicking screen realizes face battle array camera image locating area, without the need to professional and technical personnel, camera hardware location is adjusted, only need again background extraction block diagram as the black image region at place, and obtain the position of target background block diagram picture, dirigibility is strong, and without the need to relying on artificial adjustment, avoid personal error.
In specific implementation process, extracting noise section and be divided into upper and lower two parts in little graph region in step S204, can realize in the following way: image recognition is carried out to little graph region and extracts noise section, and noise section rectangle is represented, classifying in position according to rectangle, is divided into upper and lower two groups of rectangles.In this implementation, by the screen coordinate of rectangle, the position of each noise region and size are positioned.The classification of rectangle is carried out according to its position, the position coordinates obtaining rectangle one by one can be adopted to be divided into upper and lower two groups, i.e. two groups of rectangles up and down of background frame place image.Due to the both sides outside the effective coverage that the narrow limit of posting is corresponding, noise can be there is, therefore, by realizing positioning the effective coverage of positioning image to the location of noise section.As shown in Figure 7, large rectangle A0 is little graph region, and two little rectangle z1 and z2 are noise region.
In specific implementation process, a rectangular area between the upper and lower two parts noise of described extraction in step S205 is as target rectangle, be specially: obtain the minimum coordinate position of the top one group of rectangle longitudinal coordinate in position and the maximum coordinate position of position one group of rectangle longitudinal coordinate on the lower, in conjunction with the right position of little graph region, extract a rectangular area as target rectangle, and record the coordinate position of this target rectangle.Region between noise region is the region of background frame image, therefore, the region of background frame image is between the coordinate position that the top one group of rectangle longitudinal coordinate in position is minimum and the maximum coordinate position of position one group of rectangle longitudinal coordinate on the lower, cell area right position is utilized to position, target rectangle can be got, as shown in Figure 7, little rectangle B is target rectangle, and it is between noise region z1 and z2.
In specific implementation process, because touch screen generally posts glass, exist reflective, when there being touch objects touch screen, have two symmetrical hot spots to occur, and these two hot spots are move toward one another in target rectangle, namely have two in distributing up and down and the hot spot of move toward one another.Therefore, in step S205, Real-time Collection to have touch objects to touch in the target rectangle of the image clicking screen correction point to have upper and lower two hot spots and formed.
In step S205, two hot spots up and down in described acquisition target approach rectangle, the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots of described basis, according to the effective pickup area of collection baseline value determination image, be specially: setpoint distance threshold value, obtain the location of pixels at the place, top of upper and lower two hot spots, when distance between the location of pixels at place, two hot spot tops is less than distance threshold, judge the collection baseline value of symmetrical intermediate point as background frame image of the location of pixels at this place, two hot spot tops, determine to touch the effective coverage of positioning image to gather baseline value for benchmark.As established the location of pixels at place, two hot spot tops to be respectively Y0 and Y1, then the symmetrical intermediate point of the location of pixels at place, two hot spot tops is Y=(Y0+Y1)/2.Its scope is determined to gather baseline value for benchmark in the effective coverage wherein touching positioning image, the value of this scope is set by experience, as, can to gather baseline value for standard, down get the width of 8 pixels, length is 1280 pixels, and the image intercepting out like this from original system of battle formations picture is background frame image, and this background frame image uses being used as follow-up touch location.
Fig. 8 gives the process flow diagram of a preferred embodiment, take original system of battle formations picture and carried out binary conversion treatment, enters step S502 with the step S501 realized in Fig. 3; In step S502, multiple screen correction point is set on the display screen, obtains each lateral attitude of screen correction point in original system of battle formations picture respectively, enter step S503; In step S503, centered by the lateral attitude of each screen correction point, left and right sets the width value little graph region that each screen correction point is corresponding as width sets with one, enters step S504; In step S504, in each little graph region, extract noise section and be divided into upper and lower two parts, entering step S505; In step S505, extract each to the rectangular area between upper and lower two parts noise as target rectangle corresponding to each screen correction point, enter step S506; In step S506, Real-time Collection has touch objects to touch the image clicking each screen correction point, obtain two hot spots up and down entered in each target rectangle, determine the collection baseline value of the background frame image that each screen correction point is corresponding according to the position relationship of upper and lower two hot spots, enter step S507; In step s 507, deviation between more multiple collection baseline value, all deviation threshold is not more than when gathering the deviate between baseline value, then get the mean value of multiple collection baseline value or minimum collection baseline value as final collection baseline value, otherwise prompting user cannot realize the automatic calibration touching the effective pickup area of positioning image, now think that the displacement that camera occurs or deformation need to be corrected by methods such as adjustment camera physical locations.
According to the automatic selecting method of a kind of the battle array camera positioning image effective coverage of the invention described above, the present invention also provides the automatic selective system of a kind of battle array camera positioning image effective coverage.Specific embodiment below with regard to the automatic selective system of battle array camera positioning image effective coverage, face is described in detail.As shown in Figure 9, be the structural representation of the specific embodiment of the automatic selective system of battle array camera positioning image effective coverage, face.
The automatic selective system of the battle array camera positioning image effective coverage, face of this specific embodiment, specifically comprises: image acquisition units 601, screen correction point setup unit 602, little graph region setup unit 603, noise section extraction unit 604, target rectangle acquiring unit 605 and effective pickup area acquiring unit 606;
Image acquisition units 601, for shooting and binary conversion treatment original system of battle formations picture and live touch image, and original system of battle formations picture is transferred to screen correction point setup unit and by live touch image transmitting to effective pickup area acquiring unit; Image acquisition units generally adopts camera to realize.
Screen correction point setup unit 602, for arranging screen correction point on the display screen, and obtains this screen correction point lateral attitude in original system of battle formations picture and is transferred to little graph region setup unit.
Little graph region setup unit 603, for centered by the lateral attitude of screen correction point, left and right sets width value as width with one, and setting one little graph region is transferred to noise section extraction unit.
Noise section extraction unit 604, is transferred to target rectangle acquiring unit for extracting noise section and be divided into upper and lower two parts in little graph region.In one most preferably mode, noise section extraction unit specifically for: to little graph region carry out image recognition extract noise section, then being represented by noise section rectangle, classifies in the position according to rectangle, is divided into upper and lower two groups of rectangles.
Target rectangle acquiring unit 605, for extracting a rectangular area between upper and lower two parts noise as target rectangle.In a most preferred mode, target rectangle acquiring unit specifically for: obtain the minimum coordinate position of the top one group of rectangle longitudinal coordinate in position and the maximum coordinate position of position one group of rectangle longitudinal coordinate on the lower, in conjunction with the right position of little graph region, extract a rectangular area as target rectangle, and record the coordinate position of this target rectangle.In a most preferred mode, effective coverage acquiring unit is specifically for setpoint distance threshold value; Obtain the location of pixels at the place, top of upper and lower two hot spots, when distance between the location of pixels at place, two hot spot tops is less than distance threshold, judge the collection baseline value of symmetrical intermediate point as background frame image of the location of pixels at this place, two hot spot tops; Determine to touch the effective coverage of positioning image to gather baseline value for benchmark.
Effective pickup area acquiring unit 606, for receiving live touch image, and according to two hot spots up and down had in the Image Acquisition target approach rectangle of touch objects touch click screen correction point, according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots, according to the effective pickup area of collection baseline value determination image.
Claims (9)
1. an automatic selecting method for face battle array camera positioning image effective coverage, is characterized in that, comprise the steps:
Take original system of battle formations picture and carried out binary conversion treatment;
Screen correction point is set on the display screen, obtains the lateral attitude of screen correction point in original system of battle formations picture;
Centered by the lateral attitude of screen correction point, left and right sets width value as width with one, setting one little graph region, and described little graph region is rectangle;
In little graph region, extract noise section and be divided into upper and lower two parts;
Extract a rectangular area between upper and lower two parts noise as target rectangle;
Real-time Collection has touch objects to touch the image clicking screen correction point, obtain two hot spots up and down in target approach rectangle, according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots, determine to touch the effective pickup area of positioning image according to collection baseline value.
2. the automatic selecting method of according to claim 1 battle array camera positioning image effective coverage, is characterized in that, described in little graph region, extract noise section and be divided into upper and lower two-part concrete steps be:
Image recognition is carried out to little graph region and extracts noise section;
Noise section rectangle is represented;
Classifying in position according to rectangle, is divided into upper and lower two groups of rectangles.
3. the automatic selecting method of according to claim 2 battle array camera positioning image effective coverage, is characterized in that, the rectangular area between the upper and lower two parts noise of described extraction is as target rectangle, and concrete steps are:
Obtain the minimum coordinate position of the top one group of rectangle longitudinal coordinate in position and the maximum coordinate position of position one group of rectangle longitudinal coordinate on the lower, in conjunction with the right position of little graph region, extract a rectangular area as target rectangle, and record the coordinate position of this target rectangle.
4. the automatic selecting method of according to claim 1 battle array camera positioning image effective coverage, it is characterized in that, the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots of described basis, the concrete steps according to gathering the effective pickup area of baseline value determination image are:
Setpoint distance threshold value;
Obtain the location of pixels at place, upper and lower two hot spot tops;
When distance between the location of pixels at place, two hot spot tops is less than distance threshold, judge the collection baseline value of symmetrical intermediate point as background frame image of the location of pixels at this place, two hot spot tops;
Determine to touch effective pickup area of positioning image to gather baseline value for benchmark.
5. the automatic selecting method of the battle array camera positioning image effective coverage, face according to any one of Claims 1-4, it is characterized in that, described method also comprises:
Screen arranges multiple screen correction point, obtain the target rectangle that each screen correction point is corresponding respectively, and the collection baseline value of respective background frame image is obtained according to each target rectangle, deviation between more multiple collection baseline value, all deviation threshold is not more than when gathering the deviate between baseline value, then get the mean value of multiple collection baseline value as final collection baseline value, otherwise prompting user cannot realize the automatic straightening touching positioning image effective coverage.
6. an automatic selective system for face battle array camera positioning image effective coverage, is characterized in that, comprising:
Image acquisition units, for shooting and binary conversion treatment original system of battle formations picture and live touch image, and original system of battle formations picture is transferred to screen correction point setup unit and by live touch image transmitting to effective pickup area acquiring unit;
Screen correction point setup unit, for arranging screen correction point on the display screen, and obtains this screen correction point lateral attitude in original system of battle formations picture and is transferred to little graph region setup unit;
Little graph region setup unit, for centered by the lateral attitude of screen correction point, left and right sets width value as width with one, and setting one little graph region is transferred to noise section extraction unit, and described little graph region is rectangle;
Noise section extraction unit, is transferred to target rectangle acquiring unit for extracting noise section and be divided into upper and lower two parts in little graph region;
Target rectangle acquiring unit, for extracting a rectangular area between upper and lower two parts noise as target rectangle;
Effective pickup area acquiring unit, for receiving live touch image, and according to two hot spots up and down had in the Image Acquisition target approach rectangle of touch objects touch click screen correction point, according to the collection baseline value of the position relationship determination background frame image of upper and lower two hot spots, determine according to collection baseline value the effective pickup area touching positioning image.
7. the automatic selective system of according to claim 6 battle array camera positioning image effective coverage, is characterized in that, noise section extraction unit specifically for:
Carry out image recognition to little graph region and extract noise section, then being represented by noise section rectangle, classifies in the position according to rectangle, is divided into upper and lower two groups of rectangles.
8. the automatic selective system of according to claim 7 battle array camera positioning image effective coverage, is characterized in that, described target rectangle acquiring unit specifically for:
Obtain the minimum coordinate position of the top one group of rectangle longitudinal coordinate in position and the maximum coordinate position of position one group of rectangle longitudinal coordinate on the lower, in conjunction with the right position of little graph region, extract a rectangular area as target rectangle, and record the coordinate position of this target rectangle.
9. the automatic selective system of according to claim 6 battle array camera positioning image effective coverage, is characterized in that, described effective coverage acquiring unit specifically for:
Setpoint distance threshold value;
Obtain the location of pixels at the place, top of upper and lower two hot spots;
When distance between the location of pixels at place, two hot spot tops is less than distance threshold, judge the collection baseline value of symmetrical intermediate point as background frame image of the location of pixels at this place, two hot spot tops;
Determine to touch effective pickup area of positioning image to gather baseline value for benchmark.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1584917A (en) * | 2004-06-11 | 2005-02-23 | 清华大学 | Living body iris patterns collecting method and collector |
CN1847782A (en) * | 2006-03-29 | 2006-10-18 | 东南大学 | 2D Image Region Location Method Based on Raster Projection |
CN201403144Y (en) * | 2009-04-16 | 2010-02-10 | 杭州晨安机电技术有限公司 | Locked tracking camera system |
CN101840055A (en) * | 2010-05-28 | 2010-09-22 | 浙江工业大学 | Video Auto Focus System Based on Embedded Media Processor |
-
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1584917A (en) * | 2004-06-11 | 2005-02-23 | 清华大学 | Living body iris patterns collecting method and collector |
CN1847782A (en) * | 2006-03-29 | 2006-10-18 | 东南大学 | 2D Image Region Location Method Based on Raster Projection |
CN201403144Y (en) * | 2009-04-16 | 2010-02-10 | 杭州晨安机电技术有限公司 | Locked tracking camera system |
CN101840055A (en) * | 2010-05-28 | 2010-09-22 | 浙江工业大学 | Video Auto Focus System Based on Embedded Media Processor |
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