CN104581047A - Three-dimensional face recognition method for supervisory video recording - Google Patents
Three-dimensional face recognition method for supervisory video recording Download PDFInfo
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- CN104581047A CN104581047A CN201410766039.4A CN201410766039A CN104581047A CN 104581047 A CN104581047 A CN 104581047A CN 201410766039 A CN201410766039 A CN 201410766039A CN 104581047 A CN104581047 A CN 104581047A
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Abstract
The invention relates to the technical field of face recognition, and particularly relates to a three-dimensional face recognition method for supervisory video recording. The three-dimensional face recognition method for supervisory video recording comprises the following steps: monitoring an acoustical signal through an acoustical monitoring module, starting a camera of supervisory video recording equipment; judging whether a monitoring lamp needs to be started through the monitoring of a photosensitive sensor; acquiring face images from different angles by the camera to obtain a plurality of face images and reconstructing a three-dimensional face graph; filtering the reconstructed three-dimensional face graph, removing shadows, and respectively extracting image features; using the constructed image features as a feature histogram, and comparing with an existing image feature library; respectively comparing whether ears, noses, eyes and eyebrows are consistent or not, and if more than three in the four are consistent, starting a processor module to capture a period of video recording and storing in a re-storage unit. Through three-dimensional face recognition, the processor captures a period of video recording and the video recording is stored in the single re-storage unit so as to be convenient to schedule, so that the three-dimensional face recognition method is very convenient, and time and labor are saved.
Description
Technical field
The present invention relates to technical field of face recognition, be specifically related to a kind of three-dimensional face identification method for monitoring video.
Background technology
Current three-dimensional face recognition technology is mainly used in work attendance, access field, and when monitoring video equipment use, general monitoring video is in opening all the time, therefore when no one is on duty, for having checked whether that suspect enters guarded region, need the monitoring video checking whole rapid lapse of time, take time and effort.
Summary of the invention
The object of the invention is to overcome the problems referred to above, provide a kind of and save time with manpower, comparatively for convenience of the three-dimensional face identification method for monitoring video of inquiry suspect etc.
To achieve these goals, the technical solution adopted in the present invention is: for the three-dimensional face identification method of monitoring video, it is characterized in that, comprise the steps:
(1) whether there is voice signal by sound monitoring module monitors, if any voice signal, open some cameras of monitoring video equipment;
(2) whether be daytime or night, judging whether needs to open supervisory lamp if being monitored by light sensor;
(3) some cameras gather facial image from different perspectives, obtain some facial images and by processor module reconstruction of three-dimensional face figure;
(4) filtering is carried out to the three-dimensional face figure rebuild, remove shade, and extract the characteristics of image of ear, nose, eyes, eyebrow respectively;
(5) characteristics of image that step (4) builds is made feature histogram, contrasts with existing characteristics of image storehouse;
(6) respectively whether comparison ear, nose, eyes, eyebrow consistent, if having 3 more than in four unanimously, then start treatment device module intercepts a period of time video recording and be stored in another storage unit.
The aforesaid three-dimensional face identification method for monitoring video, in step (5), carries out cluster by k mean algorithm, obtains feature histogram.
The aforesaid three-dimensional face identification method for monitoring video, in step (6), described a period of time is 20-40 minute.
The aforesaid three-dimensional face identification method for monitoring video, the equipment of described monitoring video has some, the equipment networking of some monitoring videos connection handling device module, the equipment that processor module can control some monitoring videos in step (6) intercepts the video recording of a period of time simultaneously and is stored in another storage unit.
The aforesaid three-dimensional face identification method for monitoring video, in step (1), described camera is arranged at the diverse location of monitoring video equipment.
The aforesaid three-dimensional face identification method for monitoring video, in step (4), what filtering adopted is low-pass filtering algorithm.
The invention has the beneficial effects as follows: by three-dimensional face identification, make processor intercept the video recording of a period of time and be stored in independent another storage unit, conveniently call, very convenient, save time and manpower.
Embodiment
Below in conjunction with specific embodiment, the invention will be further described.
For the three-dimensional face identification method of monitoring video, it is characterized in that, comprise the steps:
(1) whether there is voice signal by sound monitoring module monitors, if any voice signal, open some cameras of monitoring video equipment;
(2) whether be daytime or night, judging whether needs to open supervisory lamp if being monitored by light sensor;
(3) some cameras gather facial image from different perspectives, obtain some facial images and by processor module reconstruction of three-dimensional face figure;
(4) filtering is carried out to the three-dimensional face figure rebuild, remove shade, and extract the characteristics of image of ear, nose, eyes, eyebrow respectively;
(5) characteristics of image that step (4) builds is made feature histogram, contrasts with existing characteristics of image storehouse;
(6) respectively whether comparison ear, nose, eyes, eyebrow consistent, if having 3 more than in four unanimously, then start treatment device module intercepts a period of time video recording and be stored in another storage unit.
In step (5), carry out cluster by k mean algorithm, obtain feature histogram.
In step (6), described a period of time is 20-40 minute.
The equipment of described monitoring video has some, the equipment networking of some monitoring videos connection handling device module, the equipment that processor module can control some monitoring videos in step (6) intercepts the video recording of a period of time simultaneously and is stored in another storage unit.
Described camera is arranged at the diverse location of monitoring video equipment.
In step (4), what filtering adopted is low-pass filtering algorithm.
Above-described embodiment does not limit the present invention in any form, the technical scheme that the mode that all employings are equal to replacement or equivalent transformation obtains, and all drops on protection scope of the present invention.
Claims (6)
1. for the three-dimensional face identification method of monitoring video, it is characterized in that, comprise the steps:
(1) whether there is voice signal by sound monitoring module monitors, if any voice signal, open some cameras of monitoring video equipment;
(2) whether be daytime or night, judging whether needs to open supervisory lamp if being monitored by light sensor;
(3) some cameras gather facial image from different perspectives, obtain some facial images and by processor module reconstruction of three-dimensional face figure;
(4) filtering is carried out to the three-dimensional face figure rebuild, remove shade, and extract the characteristics of image of ear, nose, eyes, eyebrow respectively;
(5) characteristics of image that step (4) builds is made feature histogram, contrasts with existing characteristics of image storehouse;
(6) respectively whether comparison ear, nose, eyes, eyebrow consistent, if having 3 more than in four unanimously, then start treatment device module intercepts a period of time video recording and be stored in another storage unit.
2. the three-dimensional face identification method for monitoring video according to claim 1, is characterized in that, in step (5), carries out cluster by k mean algorithm, obtains feature histogram.
3. the three-dimensional face identification method for monitoring video according to claim 1, is characterized in that, in step (6), described a period of time is 20-40 minute.
4. the three-dimensional face identification method for monitoring video according to claim 1, it is characterized in that, the equipment of described monitoring video has some, the equipment networking of some monitoring videos connection handling device module, the equipment that processor module can control some monitoring videos in step (6) intercepts the video recording of a period of time simultaneously and is stored in another storage unit.
5. the three-dimensional face identification method for monitoring video according to claim 1, is characterized in that, in step (1), described camera is arranged at the diverse location of monitoring video equipment.
6. the three-dimensional face identification method for monitoring video according to claim 1, is characterized in that, in step (4), what filtering adopted is low-pass filtering algorithm.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410766039.4A CN104581047A (en) | 2014-12-15 | 2014-12-15 | Three-dimensional face recognition method for supervisory video recording |
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| CN201410766039.4A CN104581047A (en) | 2014-12-15 | 2014-12-15 | Three-dimensional face recognition method for supervisory video recording |
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Cited By (6)
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| CN105976443A (en) * | 2016-04-28 | 2016-09-28 | 沈阳大学 | 3D camera face recognition attendance checking device |
| CN107133889A (en) * | 2017-06-27 | 2017-09-05 | 黑龙江省和为贵科技有限公司 | Judicial self-service device, system and method |
| CN109086731A (en) * | 2018-08-15 | 2018-12-25 | 深圳市烽焌信息科技有限公司 | It is a kind of for carrying out the robot and storage medium of behavior monitoring |
| CN109145804A (en) * | 2018-08-15 | 2019-01-04 | 深圳市烽焌信息科技有限公司 | Behavior monitoring method and robot |
| CN110246279A (en) * | 2019-05-23 | 2019-09-17 | 北京东晟先创科技发展有限公司 | Automatic teller machine with function of safety protection |
| CN115937907A (en) * | 2023-03-15 | 2023-04-07 | 深圳市亲邻科技有限公司 | Community pet identification method, device, medium and equipment |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105976443A (en) * | 2016-04-28 | 2016-09-28 | 沈阳大学 | 3D camera face recognition attendance checking device |
| CN107133889A (en) * | 2017-06-27 | 2017-09-05 | 黑龙江省和为贵科技有限公司 | Judicial self-service device, system and method |
| CN109086731A (en) * | 2018-08-15 | 2018-12-25 | 深圳市烽焌信息科技有限公司 | It is a kind of for carrying out the robot and storage medium of behavior monitoring |
| CN109145804A (en) * | 2018-08-15 | 2019-01-04 | 深圳市烽焌信息科技有限公司 | Behavior monitoring method and robot |
| CN110246279A (en) * | 2019-05-23 | 2019-09-17 | 北京东晟先创科技发展有限公司 | Automatic teller machine with function of safety protection |
| CN115937907A (en) * | 2023-03-15 | 2023-04-07 | 深圳市亲邻科技有限公司 | Community pet identification method, device, medium and equipment |
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