CN109379571A - A kind of implementation method and intelligent peephole of intelligent peephole - Google Patents
A kind of implementation method and intelligent peephole of intelligent peephole Download PDFInfo
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- CN109379571A CN109379571A CN201811524876.0A CN201811524876A CN109379571A CN 109379571 A CN109379571 A CN 109379571A CN 201811524876 A CN201811524876 A CN 201811524876A CN 109379571 A CN109379571 A CN 109379571A
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000001514 detection method Methods 0.000 claims abstract description 47
- 238000004422 calculation algorithm Methods 0.000 claims description 39
- 238000000605 extraction Methods 0.000 claims description 14
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 10
- 239000011022 opal Substances 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 235000013399 edible fruits Nutrition 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 241000282326 Felis catus Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
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Abstract
The present embodiments relate to intelligent peephole fields, disclose the implementation method and intelligent peephole of a kind of intelligent peephole.In the embodiment of the present invention, the intelligent peephole includes camera, control unit and display unit；The implementation method of the intelligent peephole includes: that the image information of acquisition is sent to described control unit when the camera detection is to someone in front of the door；Region except part humanoid in described image information is carried out image virtualization processing by described control unit, and will treated that image information is sent to display unit shows.In this way, the scene other than the human body of camera shooting is blurred, the personal air that intelligent peephole takes other side family is avoided, the privacy of other residents is protected.
Description
Technical field
The present embodiments relate to intelligent peephole field, in particular to the implementation method of a kind of intelligent peephole and intelligent cat
Eye.
Background technique
Currently, the structure of many houses is the mode of door t door, intelligent peephole is on door it can be seen that other side family
Personal air is easy to invade the privacy of other side resident.
Summary of the invention
The implementation method and intelligent peephole for being designed to provide a kind of intelligent peephole of embodiment of the present invention solve existing
Opal is easy the technical issues of invading other side resident privacy.
In order to solve the above technical problems, embodiments of the present invention provide a kind of implementation method of intelligent peephole, it is described
Intelligent peephole includes camera, control unit and display unit；This method comprises:
When the camera detection is to someone in front of the door, the image information of acquisition is sent to described control unit；
Region except part humanoid in described image information is carried out image virtualization processing by described control unit, and will place
Image information after reason is sent to display unit and is shown.
In order to solve the above technical problems, embodiments of the present invention additionally provide a kind of intelligent peephole, including camera, control
Unit and display unit processed；
The camera, for detecting, whether someone sends out the image information of acquisition when detecting someone in front of the door in front of the door
Give described control unit；
Region except part humanoid in described image information is carried out image virtualization processing by described control unit, and will place
Image information after reason is sent to display unit and is shown.
In terms of existing technologies, the scene other than the human body of camera shooting is carried out for above embodiment of the present invention
Virtualization, avoids the personal air that intelligent peephole takes other side family, protects the privacy of other residents.
Detailed description of the invention
One or more embodiments are illustrated by the picture in corresponding attached drawing, these exemplary theorys
The bright restriction not constituted to embodiment, the element in attached drawing with same reference numbers label are expressed as similar element, remove
Non- to have special statement, composition does not limit the figure in attached drawing.
Fig. 1 is the flow diagram of the implementation method for the intelligent peephole that embodiment of the present invention one provides；
Fig. 2 is the structural schematic diagram for the intelligent peephole that embodiment of the present invention two provides；
Fig. 3 is the flow diagram of the implementation method for the intelligent peephole that the embodiment of the present invention one provides；
Fig. 4 is the flow diagram of the implementation method of intelligent peephole provided by Embodiment 2 of the present invention；
Fig. 5 is the flow diagram of the implementation method for the intelligent peephole that the embodiment of the present invention three provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Each embodiment be explained in detail.However, it will be understood by those skilled in the art that in each embodiment party of the present invention
In formula, in order to make the reader understand this application better, many technical details are proposed.But even if without these technical details
And various changes and modifications based on the following respective embodiments, the application technical solution claimed also may be implemented.
Structure in view of existing many houses is the mode of door t door, and intelligent peephole is on door it can be seen that other side family
Personal air, invaded privacy.Embodiment of the present invention is transformed intelligent peephole, by the imaging of opal by human body with
The outer scene for being related to privacy is blurred, to protect the privacy of other residents.
Embodiment one
Fig. 1 is the flow diagram of the implementation method for the intelligent peephole that embodiment of the present invention one provides.As shown in Figure 1,
This method comprises:
Step 101, when the camera detection is to someone in front of the door, it is single that the image information of acquisition is sent to the control
Member；
Step 102, described control unit carries out in the region except part humanoid in described image information at image virtualization
Reason, and will treated that image information is sent to display unit shows.
Wherein, the region except humanoid part in the described image information received is carried out image virtualization by described control unit
Processing, comprising:
Described control unit calculates the humanoid part in described image information using Human detection algorithm；
Described control unit using image virtualization Processing Algorithm by the region except part humanoid in described image information into
Row image virtualization processing.
Wherein, the region except humanoid part in the described image information received is carried out image virtualization by described control unit
Processing, comprising:
Described control unit calculates the humanoid part in described image information using Human detection algorithm；
Described control unit is by humanoid part described in described image information and the area except the background characteristics pre-saved
Domain carries out image virtualization processing.
Wherein, the region except humanoid part in the described image information received is carried out image virtualization by described control unit
Processing, comprising:
Described image information is compared by described control unit with the original image information pre-saved, is identified described
The difference section of image information and the original image information pre-saved；
Described control unit calculates the humanoid part in described image information using Human detection algorithm；
Described control unit blurs Processing Algorithm in difference section and humanoid part in described image information using image
Region except overlapping region carries out image virtualization processing.
Wherein, the progress image virtualization processing, comprising: according to different scenes and/or different virtualization regions and/or
Different virtualization intensity, dynamic adjust exposure area and parameter.
Wherein, before the camera detection to someone in front of the door, this method further include:
The camera shoots the image of unmanned scene as original image information, and the original image information is sent
To control unit；
Described control unit directly saves the original image information；Or using feature extraction algorithm to the original graph
As information progress feature extraction, the feature of extraction is saved as background characteristics.
Embodiment two
Fig. 2 is the structural schematic diagram for the intelligent peephole that embodiment of the present invention two provides.As indicated with 2, the intelligent peephole,
Including camera, control unit and display unit；
The camera, for detecting, whether someone sends out the image information of acquisition when detecting someone in front of the door in front of the door
Give described control unit；
Region except part humanoid in described image information is carried out image virtualization processing by described control unit, and will place
Image information after reason is sent to display unit and is shown.
Wherein, described control unit includes: Human detection unit and image virtualization processing unit；
The Human detection unit, for calculating the humanoid part in described image information using Human detection algorithm；
Described image blurs processing unit, for blurring Processing Algorithm for part humanoid in described image information using image
Except region carry out image virtualization processing.
Wherein, described control unit includes: Human detection unit and image virtualization processing unit；
The Human detection unit, for calculating the humanoid part in described image information using Human detection algorithm；
Described image blurs processing unit, for by humanoid part described in described image information and the background pre-saved
Region except feature carries out image virtualization processing.
Wherein, described control unit includes: difference identification unit, Human detection unit and image virtualization processing unit；
The difference identification unit, for described image information to be compared with the original image information pre-saved,
Identify the difference section of described image information with the original image information pre-saved；
The Human detection unit, for calculating the humanoid part in described image information using Human detection algorithm；
Described image blurs processing unit, for blurring Processing Algorithm for difference section in described image information using image
It neutralizes the region except the humanoid region that partly overlaps and carries out image virtualization processing.
Wherein, the camera is also used to before the camera detection to someone in front of the door, shoots the figure of unmanned scene
As being used as original image information, and the original image information is sent to control unit；
Described control unit is also used to directly save the original image information；Or using feature extraction algorithm to institute
It states original image information and carries out feature extraction, the feature of extraction is saved as background characteristics.
State the technical solution that embodiment of the present invention one, two provides in detail below by several specific embodiments.
Embodiment one
Fig. 3 is the flow diagram of the implementation method for the intelligent peephole that the embodiment of the present invention one provides.As indicated at 3, the party
Method includes:
Step 301, whether someone believes the image of acquisition when detecting someone in front of the door the camera detection in front of the door
Breath is sent to control unit；
Wherein, camera is mounted on outdoors, be can use the sensors such as infrared sensor or microwave remote sensor and is carried out people
Physical examination is surveyed.When detecting someone in front of the door, camera can be from opening acquisition image information, or by the detection knot of someone in front of the door
Fruit is sent to control unit, opens acquisition image information by control unit control camera.
Step 302, described control unit calculates the humanoid part in described image information using Human detection algorithm；
Wherein, Human detection algorithm can be any calculation that Human detection or recognition of face may be implemented in the prior art
Method.
Step 303, described control unit will be except part humanoid in described image information using image virtualization Processing Algorithm
Region carry out image virtualization processing；
Wherein, image virtualization Processing Algorithm can be any algorithm that image virtualization processing may be implemented in the prior art.
Wherein, described control unit can carry out different degrees of according to scene difference, virtualization region and intensity difference
Virtualization.The dynamic adjustment modes such as exposure area and parameter can be using the technology of virtualization processing.
Step 304, described control unit will treated that image information is sent to display unit shows.
The technical solution that the embodiment of the present invention one provides, by the way that pair of privacy will be related to except visitor during opal is imaged
Scene etc. after the door of square resident or other side's enabling carries out virtualization processing, so that the resident of installation intelligent peephole can only see
Visitor can not see the privacy information of other side resident.
Embodiment two
Fig. 4 is the flow diagram of the implementation method of intelligent peephole provided by Embodiment 2 of the present invention.As indicated at 4, the party
Method includes:
Step 401, whether someone shoots unmanned scene before detecting someone in front of the door to the camera detection in front of the door
Image be sent to control unit as original image information, and by the original image information；
Step 402, described control unit carries out feature extraction to the original image information using feature extraction algorithm, will
The feature of extraction is saved as background characteristics；
Wherein it is possible to determine original image information by the accumulation of more data, such as control unit can use and take the photograph
The picture under the conditions of tens of infrared lights is shot as head, the region that similarity reaches 95% or more in picture may be considered
Non- privacy area, can be using the non-privacy area as background characteristics.It is shot using infrared light condition, is to exclude color
Interference to finally comparing.User can also be allowed actively to shoot nobody scene picture, it is existing to the picture extraction and application
Feature extraction algorithm is carried out calculating analysis and be formed to picture " background " feature vector, as background characteristics and following image into
Row compares, and being somebody's turn to do " background " feature vector may include: the non-privacy areas such as wall, elevator stair, door and window.
Step 403, when the camera detection is to someone in front of the door, the image information of acquisition is sent to control unit；
Wherein, camera is mounted on outdoors, be can use the sensors such as infrared sensor or microwave remote sensor and is carried out people
Physical examination is surveyed.When detecting someone in front of the door, camera can be from opening acquisition image information, or by the detection knot of someone in front of the door
Fruit is sent to control unit, opens acquisition image information by control unit control camera.
Step 404, described control unit calculates the humanoid part in described image information using Human detection algorithm；
Wherein, Human detection algorithm can be any calculation that Human detection or recognition of face may be implemented in the prior art
Method.
Step 405, described control unit is by humanoid part described in described image information and the background characteristics pre-saved
Except region carry out image virtualization processing；
Wherein, image virtualization Processing Algorithm can be any algorithm that image virtualization processing may be implemented in the prior art.
Wherein, described control unit can carry out different degrees of according to scene difference, virtualization region and intensity difference
Virtualization.The dynamic adjustment modes such as exposure area and parameter can be using the technology of virtualization processing.
Step 406, described control unit will treated that image information is sent to display unit shows.
Technical solution provided by Embodiment 2 of the present invention, by during opal is imaged by the non-privacy such as visitor and background characteristics
The door for being related to the other side resident of privacy except region or the scene after other side's enabling etc. carry out virtualization processing, so that installation
The resident of intelligent peephole can not see the privacy information of other side resident.
Embodiment three
Fig. 5 is the flow diagram of the implementation method for the intelligent peephole that the embodiment of the present invention three provides.As figure 5 illustrates, the party
Method includes:
Step 501, whether someone shoots unmanned scene before detecting someone in front of the door to the camera detection in front of the door
Image be sent to control unit as original image information, and by the original image information；
Step 502, described control unit directly saves the original image information；
Wherein it is possible to which user is allowed actively to shoot nobody scene picture as original image information.
Step 503, when the camera detection is to someone in front of the door, the image information of acquisition is sent to control unit；
Wherein, camera is mounted on outdoors, be can use the sensors such as infrared sensor or microwave remote sensor and is carried out people
Physical examination is surveyed.When detecting someone in front of the door, camera can be from opening acquisition image information, or by the detection knot of someone in front of the door
Fruit is sent to control unit, opens acquisition image information by control unit control camera.
Step 504, described image information is compared by described control unit with the original image information pre-saved, is known
It Chu not described image information and the difference section of original image information that pre-saves；
Wherein, since original image information is shot in the case where nobody and other side resident do not open the door, when
When the other side resident is not turned on door, difference section may only include visitor image, should if other side resident opens door
Difference section may also contain the image in other side resident room in addition to visitor.
Step 505, described control unit calculates the humanoid part in described image information using Human detection algorithm；
Wherein, Human detection algorithm can be any calculation that Human detection or recognition of face may be implemented in the prior art
Method.
Step 506, described control unit is neutralized difference section in described image information using image virtualization Processing Algorithm
Region except the humanoid region that partly overlaps carries out image virtualization processing；
Wherein, image virtualization Processing Algorithm can be any algorithm that image virtualization processing may be implemented in the prior art.
Wherein, the purpose of above-mentioned image virtualization processing is to be involved in the image of other side's resident's Private Parts to blur.
Wherein, described control unit can carry out different degrees of according to scene difference, virtualization region and intensity difference
Virtualization.The dynamic adjustment modes such as exposure area and parameter can be using the technology of virtualization processing.
Step 507, described control unit will treated that image information is sent to display unit shows.
The technical solution that the embodiment of the present invention three provides, by will be related to except the non-privacy area such as visitor during opal is imaged
And to privacy other side resident door or other side open the door after scene etc. carry out virtualization processing so that installation intelligent peephole
Resident can not see the privacy information of other side resident.
The embodiment of the invention also provides a kind of intelligent peepholes, comprising: camera, display unit and controller；
The controller includes memory and processor, wherein the memory is stored with computer program, described program
It can be realized the operation of any one of above-described embodiment control unit execution when being executed by processor.
It will be understood by those skilled in the art that the operation for realizing the control unit in above-described embodiment method is can to pass through
Program is completed to instruct relevant hardware (sensor), which is stored in a storage medium, including some instructions are used
So that an equipment (can be single-chip microcontroller, chip etc.) or processor (processor) execute in each embodiment of the application
The operation that control unit executes.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
It will be understood by those skilled in the art that the various embodiments described above are realization specific embodiments of the present invention, and
In practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (10)
1. a kind of implementation method of intelligent peephole, the intelligent peephole includes camera, control unit and display unit；This method
Include:
When the camera detection is to someone in front of the door, the image information of acquisition is sent to described control unit；
Region except part humanoid in described image information is carried out image virtualization processing by described control unit, and will be after processing
Image information be sent to display unit and shown.
2. the method according to claim 1, wherein described control unit is by people in the described image information received
Region except shape part carries out image virtualization processing, comprising:
Described control unit calculates the humanoid part in described image information using Human detection algorithm；
Region except part humanoid in described image information is carried out figure using image virtualization Processing Algorithm by described control unit
As virtualization is handled.
3. the method according to claim 1, wherein described control unit is by people in the described image information received
Region except shape part carries out image virtualization processing, comprising:
Described control unit calculates the humanoid part in described image information using Human detection algorithm；
Described control unit by humanoid part described in described image information and the region except the background characteristics pre-saved into
Row image virtualization processing.
4. the method according to claim 1, wherein described control unit is by people in the described image information received
Region except shape part carries out image virtualization processing, comprising:
Described image information is compared by described control unit with the original image information pre-saved, identifies described image
The difference section of information and the original image information pre-saved；
Described control unit calculates the humanoid part in described image information using Human detection algorithm；
Described control unit will be partly overlapped in difference section with humanoid using image virtualization Processing Algorithm in described image information
Region except region carries out image virtualization processing.
5. method according to any one of claims 1 to 4, which is characterized in that the progress image virtualization processing, comprising:
According to different scenes and/or different virtualization regions and/or different virtualization intensity, dynamic adjusts exposure area and ginseng
Number.
6. a kind of intelligent peephole, which is characterized in that including camera, control unit and display unit；
The camera, for detecting, whether the image information of acquisition is sent to by someone when detecting someone in front of the door in front of the door
Described control unit；
Region except part humanoid in described image information is carried out image virtualization processing by described control unit, and will be after processing
Image information be sent to display unit and shown.
7. intelligent peephole according to claim 6, which is characterized in that described control unit include: Human detection unit and
Image blurs processing unit；
The Human detection unit, for calculating the humanoid part in described image information using Human detection algorithm；
Described image blurs processing unit, will be except part humanoid in described image information for blurring Processing Algorithm using image
Region carry out image virtualization processing.
8. intelligent peephole according to claim 6, which is characterized in that described control unit include: Human detection unit and
Image blurs processing unit；
The Human detection unit, for calculating the humanoid part in described image information using Human detection algorithm；
Described image blurs processing unit, for by humanoid part described in described image information and the background characteristics pre-saved
Except region carry out image virtualization processing.
9. intelligent peephole according to claim 1, which is characterized in that described control unit includes: difference identification unit, people
Shape recognition unit and image blur processing unit；
The difference identification unit is identified for described image information to be compared with the original image information pre-saved
The difference section of described image information and the original image information pre-saved out；
The Human detection unit, for calculating the humanoid part in described image information using Human detection algorithm；
Described image blurs processing unit, for being neutralized difference section in described image information using image virtualization Processing Algorithm
Region except the humanoid region that partly overlaps carries out image virtualization processing.
10. intelligent peephole according to claim 8 or claim 9, which is characterized in that
The camera is also used to before the camera detection to someone in front of the door, shoots the image of unmanned scene as former
Beginning image information, and the original image information is sent to control unit；
Described control unit is also used to directly save the original image information；Or using feature extraction algorithm to the original
Beginning image information carries out feature extraction, and the feature of extraction is saved as background characteristics.
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