CN108197601A - A kind of Intelligent human-face tracks exposure system - Google Patents
A kind of Intelligent human-face tracks exposure system Download PDFInfo
- Publication number
- CN108197601A CN108197601A CN201810081430.9A CN201810081430A CN108197601A CN 108197601 A CN108197601 A CN 108197601A CN 201810081430 A CN201810081430 A CN 201810081430A CN 108197601 A CN108197601 A CN 108197601A
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- face
- exposure
- intelligent human
- exposure system
- picture
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/179—Human faces, e.g. facial parts, sketches or expressions metadata assisted face recognition
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Exposure Control For Cameras (AREA)
- Studio Devices (AREA)
Abstract
The invention discloses a kind of Intelligent human-faces to track exposure system, comprises the steps of：A, start capture machine；B, Face datection algorithm obtains face changing coordinates；C, tracking exposure algorithm ensures that face brightness is best；D, capture face picture, the invention has the advantages that 1, can adjust automatically realize exposure, adapt to a variety of monitoring environment and range, initialization is easy to adjust, easy to operate, real-time is high.2nd, day and night switch, clearly picture can be kept, the face of entrance accurately can be captured clearly.3rd, a motor-driven lens module can save the trouble for replacing camera lens, can be met conventional monitoring with automatic exposure, saved cost.
Description
Technical field
The present invention relates to intelligent identification technology field, specifically a kind of Intelligent human-face tracks exposure system.
Background technology
Face recognition technology refers to that the visual signature information by comparing face, should so as to carry out the technology of identity discriminating
Technology is the more popular field of computer technology of a research.Face recognition technology is mainly based upon the facial characteristics of people, needle
To image or video detection its with the presence or absence of face, if there are human face region, just further detect its position, size with
And the information such as position of each organ of face, the feature of the representative capacity in each face can be obtained according to above- mentioned information.
In order to make recognition of face and its detection efficiency higher more accurate, then the face picture of high quality, wherein face are needed
Automatic exposure is one of emphasis in face recognition technology.The control that the control of exposure can not only move face smear can also
Face promotes the brightness of face in the case of backlight.The difficult point of technology is face exposure information histogram, exposure weight letter
Breath, time for exposure average value etc. identifies whether current scene belongs to backlight scene or low-light scene, so as to promote face
Light exposure.
The shortcomings that prior art：
Exposure-processed at this stage due to being attached to the limitation of image ISP process parts, also can simultaneously in face exposure is promoted
Promote the exposure of background.
Invention content
The purpose of the present invention is to provide a kind of Intelligent human-faces to track exposure system, to solve to propose in above-mentioned background technology
The problem of.
To achieve the above object, the present invention provides following technical solution：
A kind of Intelligent human-face tracks exposure system, comprises the steps of：
A, start capture machine；
B, Face datection algorithm obtains face changing coordinates；
C, tracking exposure algorithm ensures that face brightness is best；
D, face picture is captured.
Further technical solution as the present invention：The capture machine uses high-definition camera.
Compared with prior art, the invention has the advantages that 1, can adjust automatically realize exposure, adapt to a variety of monitoring rings
Border and range, initialization is easy to adjust, easy to operate, real-time is high.
2nd, day and night switch, clearly picture can be kept, the face of entrance accurately can be captured clearly.
3rd, a motor-driven lens module can save the trouble for replacing camera lens, can meet conventional monitoring, section with automatic exposure
Cost-saving.
Description of the drawings
Fig. 1 is face exposure module work flow diagram.
Fig. 2 is complete machine work flow diagram.
Fig. 3 is the flow chart of face tracking exposure algorithm.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment shall fall within the protection scope of the present invention.
- 3 are please referred to Fig.1, a kind of Intelligent human-face tracks exposure system, comprises the steps of：
A, start capture machine；
B, Face datection algorithm obtains face changing coordinates；
C, tracking exposure algorithm ensures that face brightness is best；
D, face picture is captured.
Capture machine uses high-definition camera.
The present invention operation principle be：The present invention is broadly divided into two parts, and one is Face datection algorithm, and one is to expose
Light algorithm.
Face datection algorithm：Based on deep learning and its cooperation IVE coprocessor modes, it is current to carry out efficient detection
Frame, if there are people in picture when just can quick obtaining to face changing coordinates.
Track exposure algorithm：For adaptive different scenes and face image quality is promoted in face snap machine, needed first
Self-adapting detecting scene is wanted, wherein most commonly seen is then backlight scene, common scenarios, low-light scene.
We can by learn different zones exposure value, detection different zones exposure ratio and current gain values variation come
Distinguish backlight scene, common scenarios and low-light scene.People in backlight scene motion, face be at this time than it is dark we combine
Face datection coordinate, AE histograms, exposure weight and its light exposure are with reference to promoting the brightness of face at this time.And in common scenarios
In, face exposure weight is low with respect to backlight weight.In dim light, since ambient light itself is in Lower state,
What we took at this time is that the preferential pattern of low light, the change difference in conjunction with light exposure reach face brightness optimum efficiency.At this
In three kinds of scenes, to need to be concerned with how solving people during exercise, present frame is that clearly, the method that we take is then
Limitation shutter speed is clear so as to promote face movement present frame.
It is obvious to a person skilled in the art that the present invention is not limited to the details of above-mentioned exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requirement rather than above description limit, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation is included within the present invention.Any reference numeral in claim should not be considered as to the involved claim of limitation.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in each embodiment can also be properly combined, forms those skilled in the art
The other embodiment being appreciated that.
Claims (2)
1. a kind of Intelligent human-face tracks exposure system, which is characterized in that comprises the steps of：
Start capture machine；
Face datection algorithm obtains face changing coordinates；
It tracks exposure algorithm and ensures that face brightness is best；
Capture face picture.
2. a kind of Intelligent human-face tracking exposure system according to claim 1, which is characterized in that the capture machine is using high
Clear video camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810081430.9A CN108197601A (en) | 2018-01-29 | 2018-01-29 | A kind of Intelligent human-face tracks exposure system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810081430.9A CN108197601A (en) | 2018-01-29 | 2018-01-29 | A kind of Intelligent human-face tracks exposure system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108197601A true CN108197601A (en) | 2018-06-22 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810081430.9A Pending CN108197601A (en) | 2018-01-29 | 2018-01-29 | A kind of Intelligent human-face tracks exposure system |
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| CN (1) | CN108197601A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108965805A (en) * | 2018-07-10 | 2018-12-07 | 深圳市巨龙创视科技有限公司 | A kind of splicing linked system based on embedded deep learning algorithm |
| CN110602411A (en) * | 2019-08-07 | 2019-12-20 | 深圳市华付信息技术有限公司 | Method for improving quality of face image in backlight environment |
| CN111131693A (en) * | 2019-11-07 | 2020-05-08 | 深圳市艾为智能有限公司 | Face image enhancement method based on multi-exposure face detection |
| US12096001B2 (en) | 2019-06-25 | 2024-09-17 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for video decoding |
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| US20100021064A1 (en) * | 2008-07-23 | 2010-01-28 | Samsung Digital Imaging Co., Ltd. | Image processing method and apparatus, and digital photographing apparatus using the same |
| US9286509B1 (en) * | 2012-10-19 | 2016-03-15 | Google Inc. | Image optimization during facial recognition |
| CN106131449A (en) * | 2016-07-27 | 2016-11-16 | 维沃移动通信有限公司 | A kind of photographic method and mobile terminal |
| CN106682620A (en) * | 2016-12-28 | 2017-05-17 | 北京旷视科技有限公司 | Human face image acquisition method and device |
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2018
- 2018-01-29 CN CN201810081430.9A patent/CN108197601A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100021064A1 (en) * | 2008-07-23 | 2010-01-28 | Samsung Digital Imaging Co., Ltd. | Image processing method and apparatus, and digital photographing apparatus using the same |
| US9286509B1 (en) * | 2012-10-19 | 2016-03-15 | Google Inc. | Image optimization during facial recognition |
| CN106131449A (en) * | 2016-07-27 | 2016-11-16 | 维沃移动通信有限公司 | A kind of photographic method and mobile terminal |
| CN106682620A (en) * | 2016-12-28 | 2017-05-17 | 北京旷视科技有限公司 | Human face image acquisition method and device |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108965805A (en) * | 2018-07-10 | 2018-12-07 | 深圳市巨龙创视科技有限公司 | A kind of splicing linked system based on embedded deep learning algorithm |
| US12096001B2 (en) | 2019-06-25 | 2024-09-17 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for video decoding |
| CN110602411A (en) * | 2019-08-07 | 2019-12-20 | 深圳市华付信息技术有限公司 | Method for improving quality of face image in backlight environment |
| CN111131693A (en) * | 2019-11-07 | 2020-05-08 | 深圳市艾为智能有限公司 | Face image enhancement method based on multi-exposure face detection |
| CN111131693B (en) * | 2019-11-07 | 2021-07-30 | 深圳市艾为智能有限公司 | Face image enhancement method based on multi-exposure face detection |
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Application publication date: 20180622 |