CN107480626A - A kind of method that census using recognition of face monitors - Google Patents
A kind of method that census using recognition of face monitors Download PDFInfo
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- 230000001815 facial effect Effects 0.000 claims abstract description 45
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- 238000001514 detection method Methods 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 1
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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
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
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Abstract
A kind of method that census using recognition of face monitors, using following steps, step 1：Monitoring occasion distribution is provided with camera, in the monitoring occasion, image identification system, data handling system, black list database, white list database and stranger's database are set respectively, trust personnel in white list data library storage monitoring occasion, key monitoring personnel are stored in the black list database, data handling system carries out autocoding to camera, and each camera is corresponding with unique ID；Step 2：The personnel that camera occurs to monitoring occasion carry out image-capture, and the image transmitting of crawl is handled to image recognition processing system, facial image is extracted from the image of crawl；Meanwhile camera ID is sent in data handling system, data handling system establishes the facial image and the corresponding relation for the time captured that camera ID and the camera are captured.Public security and property personnel are helped to resident personnel, mobile personnel's management and control.
Description
Technical field
The present invention relates to field of face identification, and in particular to a kind of method that census using recognition of face monitors.
Background technology
Now current cell permanent resident population, the most of place of the statistical work of floating population or by census of visiting,
Property registration, the mode of local police station's inquiry household register are actively arrived, but under the mode of this several statistics, it is difficult to count on to be
In a certain section of time range, the information such as permanent resident population's quantity of cell, floating population's quantity can not accurate control cell activity people
The quantity of mouth.Also exist in some cells in addition and pay close attention to personnel, such as need monitoring to complain to the higher authorities about an injustice and request fair settlement family in the important date
The problem of stability maintenance, it is to be understood that complain to the higher authorities about an injustice and request fair settlement the whereabouts at family, if be away from home, if leave cell, present solution is exactly to pacify
Row's community workers' timing, which is visited, accesses or tracks whereabouts.
The content of the invention
The present invention in view of the shortcomings of the prior art, proposes a kind of method that census using recognition of face monitors, tool
Body technique scheme is as follows：
A kind of method that census using recognition of face monitors, it is characterised in that：
Using following steps,
Step 1：Monitoring occasion distribution is provided with camera, image identification system, number are set respectively in the monitoring occasion
According to processing system, black list database, white list database and stranger's database, white list data library storage monitoring occasion
In trust personnel, key monitoring personnel are stored in the black list database, data handling system is compiled automatically to camera
Code, each camera are corresponding with unique ID；
Step 2：The personnel that camera occurs to monitoring occasion carry out image-capture, and the image transmitting of crawl to image is known
Other processing system is handled, and facial image is extracted from the image of crawl；
Meanwhile camera ID is sent in data handling system, data handling system establishes camera ID and this is taken the photograph
The facial image and the corresponding relation for the time captured captured as head；
Step 3：Facial image in blacklist in the facial image and database is subjected to similarity comparison, judges phase
Whether reach the threshold value of setting like degree, if it is, into step 7, otherwise, into step 4；
Step 4：The facial image is compared with the facial image in stranger's database, judges that the facial image is
It is no corresponding image in strange face database to be present, if it is, into next step, otherwise, into step 6；
Step 5：Then increase the frequency of corresponding facial image occurrence number in strange face database, according to the people
Face image frequency of occurrences in strange face database, the facial image is stored in white list database or blacklist data
In storehouse；
Step 6：The facial image is stored in strange face database；
Step 7：When detecting that human face data is identical with the image in black list database, data handling system will monitor aobvious
The picture of display screen is switched to the monitored picture of camera corresponding to the human face data, is simultaneously emitted by sound and light alarm and reminds administrative staff
Monitor the key area.
Further：The step 5 comprises the following steps：
Step 51：The frequency that every facial image in the strange face database of data handling system periodic detection occurs,
When the frequency for having facial image frequency in strange face database to occur is more than the frequency of setting, data handling system is to management
Personnel give notice；
Step 52：Administrative staff judge whether the facial image in strange face database more than setpoint frequency belongs to credible
The person of leting people, if it is, into next step, otherwise, into step 54；
Step 53：View data in the facial image is moved in white list database；
Step 54：The facial image is moved in black list database.
Beneficial effects of the present invention are：First, public security and property personnel are helped to resident personnel, mobile personnel's management and control.The
Two, key monitoring personnel action in cell is monitored.3rd, whether deployment emphasis suspect occurs in cell, retrieves
The situation that target person occurs in cell.
Brief description of the drawings
Fig. 1 is the structured flowchart of the present invention.
Embodiment
Presently preferred embodiments of the present invention is described in detail below in conjunction with the accompanying drawings, so that advantages and features of the invention energy
It is easier to be readily appreciated by one skilled in the art, apparent is clearly defined so as to be made to protection scope of the present invention.
A kind of method that census using recognition of face monitors,
Using following steps,
Step 1：Monitoring occasion distribution is provided with camera, image identification system, number are set respectively in the monitoring occasion
According to processing system, black list database, white list database and stranger's database, white list data library storage monitoring occasion
In trust personnel, key monitoring personnel are stored in the black list database, data handling system is compiled automatically to camera
Code, each camera are corresponding with unique ID；
Step 2：The personnel that camera occurs to monitoring occasion carry out image-capture, and the image transmitting of crawl to image is known
Other processing system is handled, and facial image is extracted from the image of crawl；
Meanwhile camera ID is sent in data handling system, data handling system establishes camera ID and this is taken the photograph
The facial image and the corresponding relation for the time captured captured as head；
Step 3：Facial image in blacklist in the facial image and database is subjected to similarity comparison, judges phase
Whether reach the threshold value of setting like degree, if it is, into step 7, otherwise, into step 4；
Step 4：The facial image is compared with the facial image in stranger's database, judges that the facial image is
It is no corresponding image in strange face database to be present, if it is, into next step, otherwise, into step 9；
Step 5：The frequency that every facial image in the strange face database of data handling system periodic detection occurs, when
When the frequency for having facial image frequency in strange face database to occur is more than the frequency of setting, data handling system is to custodian
Member gives notice；
Step 6：Administrative staff judge whether the facial image in strange face database more than setpoint frequency belongs to credible
The person of leting people, if it is, into next step, otherwise, into step 8；
Step 7：View data in the facial image is moved in white list database；
Step 8：The facial image is moved in black list database.
Step 9：The facial image is stored in strange face database；
Step 10：When detecting that human face data is identical with the image in black list database, data handling system will monitor
The picture of display screen is switched to the monitored picture of camera corresponding to the human face data, is simultaneously emitted by sound and light alarm and reminds custodian
Member monitors the key area.
Claims (2)
1. a kind of method that census using recognition of face monitors, it is characterised in that：
Using following steps,
Step 1：Monitoring occasion distribution is provided with camera, image identification system is set respectively, at data in the monitoring occasion
Reason system, black list database, white list database and stranger's database, the white list data library storage are monitored in occasion
Trust personnel, key monitoring personnel are stored in the black list database, data handling system carries out autocoding to camera, often
Individual camera is corresponding with unique ID；
Step 2：The personnel that camera occurs to monitoring occasion carry out image-capture, by the image transmitting of crawl at image recognition
Reason system is handled, and facial image is extracted from the image of crawl；
Meanwhile camera ID is sent in data handling system, data handling system establishes camera ID and the camera
The facial image of candid photograph and the corresponding relation for the time captured；
Step 3：Facial image in blacklist in the facial image and database is subjected to similarity comparison, judges similarity
Whether the threshold value of setting is reached, if it is, into step 7, otherwise, into step 4；
Step 4：The facial image is compared with the facial image in stranger's database, judge the facial image whether
Corresponding image in strange face database be present, if it is, into next step, otherwise, into step 6；
Step 5：Then increase the frequency of corresponding facial image occurrence number in strange face database, according to the face figure
As the frequency of occurrences in strange face database, the facial image is stored in white list database or black list database
In；
Step 6：The facial image is stored in strange face database；
Step 7：When detecting that human face data is identical with the image in black list database, data handling system is by monitoring display screen
Picture be switched to the monitored picture of camera corresponding to the human face data, be simultaneously emitted by sound and light alarm and remind administrative staff's monitoring
The key area.
2. a kind of method that census using recognition of face monitors according to claim 1, it is characterised in that：
The step 5 comprises the following steps：
Step 51：The frequency that every facial image in the strange face database of data handling system periodic detection occurs, when having
When the frequency that facial image frequency occurs in strange face database is more than the frequency of setting, data handling system is to administrative staff
Give notice；
Step 52：Administrative staff judge whether the facial image for exceeding setpoint frequency in strange face database belongs to credible and let people
Member, if it is, into next step, otherwise, into step 54；
Step 53：View data in the facial image is moved in white list database；
Step 54：The facial image is moved in black list database.
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| CN201710675378.5A CN107480626A (en) | 2017-08-09 | 2017-08-09 | A kind of method that census using recognition of face monitors |
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| CN201710675378.5A CN107480626A (en) | 2017-08-09 | 2017-08-09 | A kind of method that census using recognition of face monitors |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108052925A (en) * | 2017-12-28 | 2018-05-18 | 江西高创保安服务技术有限公司 | A kind of cell personnel archives intelligent management |
| CN109086829A (en) * | 2018-08-14 | 2018-12-25 | 东方网力科技股份有限公司 | A kind of method and device that social population administers |
| CN109190588A (en) * | 2018-09-19 | 2019-01-11 | 东方网力科技股份有限公司 | A kind of method and device of population classification |
| CN109241847A (en) * | 2018-08-07 | 2019-01-18 | 电子科技大学 | The Oilfield Operation District safety monitoring system of view-based access control model image |
| CN109410401A (en) * | 2018-11-08 | 2019-03-01 | 重庆惠家通信息技术有限公司 | Recognition of face access control system suitable for wisdom cell |
| CN109409340A (en) * | 2018-12-07 | 2019-03-01 | 深圳职业技术学院 | A kind of cell stream of people identifying system and its workflow |
| CN109660765A (en) * | 2018-12-28 | 2019-04-19 | 大庆市嘉华科技有限公司 | Community Watch system and Community Watch method |
| CN109766779A (en) * | 2018-12-20 | 2019-05-17 | 深圳云天励飞技术有限公司 | Hovering Person Identification Method and Related Products |
| CN109815899A (en) * | 2019-01-24 | 2019-05-28 | 广州市炬盾科技发展有限公司 | Safety defense monitoring system based on recognition of face |
| CN109859426A (en) * | 2019-01-24 | 2019-06-07 | 广州市炬盾科技发展有限公司 | A kind of community security protection management system |
| CN110084935A (en) * | 2019-04-26 | 2019-08-02 | 重庆中科云从科技有限公司 | Enter and leave method for early warning and device |
| CN110443913A (en) * | 2018-05-02 | 2019-11-12 | 深圳吉祥星科技股份有限公司 | A kind of access control method, device and terminal device |
| CN110555923A (en) * | 2018-05-31 | 2019-12-10 | 杭州海康威视数字技术股份有限公司 | Personnel registration method and system |
| CN111368619A (en) * | 2019-08-14 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Method, device and equipment for detecting suspicious people |
| CN111460940A (en) * | 2020-03-21 | 2020-07-28 | 中电海康集团有限公司 | Stranger foot drop point studying and judging method and system |
| CN111950364A (en) * | 2020-07-07 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | System and method for identifying face of tens of millions of base libraries in different libraries |
| CN112270230A (en) * | 2020-10-19 | 2021-01-26 | 武汉烽火众智数字技术有限责任公司 | Method and system for counting urban foreign people and resident population based on big data |
| CN112689131A (en) * | 2021-03-12 | 2021-04-20 | 深圳市安软科技股份有限公司 | Gridding-based moving target monitoring method and device and related equipment |
| CN113837160A (en) * | 2021-11-29 | 2021-12-24 | 天津市中环系统工程有限责任公司 | Method for identifying normally-living people and vehicles without preset information |
| CN116543438A (en) * | 2023-05-05 | 2023-08-04 | 深圳市齐胜达科技有限公司 | Accurate identification method for dynamically tracking and capturing human face |
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Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108052925A (en) * | 2017-12-28 | 2018-05-18 | 江西高创保安服务技术有限公司 | A kind of cell personnel archives intelligent management |
| CN108052925B (en) * | 2017-12-28 | 2021-08-03 | 江西高创保安服务技术有限公司 | Intelligent management method for community personnel files |
| CN110443913A (en) * | 2018-05-02 | 2019-11-12 | 深圳吉祥星科技股份有限公司 | A kind of access control method, device and terminal device |
| CN110555923A (en) * | 2018-05-31 | 2019-12-10 | 杭州海康威视数字技术股份有限公司 | Personnel registration method and system |
| CN109241847A (en) * | 2018-08-07 | 2019-01-18 | 电子科技大学 | The Oilfield Operation District safety monitoring system of view-based access control model image |
| CN109086829A (en) * | 2018-08-14 | 2018-12-25 | 东方网力科技股份有限公司 | A kind of method and device that social population administers |
| CN109190588A (en) * | 2018-09-19 | 2019-01-11 | 东方网力科技股份有限公司 | A kind of method and device of population classification |
| CN109410401A (en) * | 2018-11-08 | 2019-03-01 | 重庆惠家通信息技术有限公司 | Recognition of face access control system suitable for wisdom cell |
| CN109409340A (en) * | 2018-12-07 | 2019-03-01 | 深圳职业技术学院 | A kind of cell stream of people identifying system and its workflow |
| CN109766779A (en) * | 2018-12-20 | 2019-05-17 | 深圳云天励飞技术有限公司 | Hovering Person Identification Method and Related Products |
| CN109660765A (en) * | 2018-12-28 | 2019-04-19 | 大庆市嘉华科技有限公司 | Community Watch system and Community Watch method |
| CN109859426A (en) * | 2019-01-24 | 2019-06-07 | 广州市炬盾科技发展有限公司 | A kind of community security protection management system |
| CN109815899A (en) * | 2019-01-24 | 2019-05-28 | 广州市炬盾科技发展有限公司 | Safety defense monitoring system based on recognition of face |
| CN110084935A (en) * | 2019-04-26 | 2019-08-02 | 重庆中科云从科技有限公司 | Enter and leave method for early warning and device |
| CN111368619A (en) * | 2019-08-14 | 2020-07-03 | 杭州海康威视系统技术有限公司 | Method, device and equipment for detecting suspicious people |
| CN111368619B (en) * | 2019-08-14 | 2024-03-08 | 杭州海康威视系统技术有限公司 | Suspicious person detection method, suspicious person detection device and suspicious person detection equipment |
| CN111460940B (en) * | 2020-03-21 | 2024-02-13 | 中电海康集团有限公司 | Method and system for studying and judging stranger footfall points |
| CN111460940A (en) * | 2020-03-21 | 2020-07-28 | 中电海康集团有限公司 | Stranger foot drop point studying and judging method and system |
| CN111950364A (en) * | 2020-07-07 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | System and method for identifying face of tens of millions of base libraries in different libraries |
| CN111950364B (en) * | 2020-07-07 | 2024-03-22 | 北京思特奇信息技术股份有限公司 | System and method for identifying library-separating face of tens of millions of libraries |
| CN112270230A (en) * | 2020-10-19 | 2021-01-26 | 武汉烽火众智数字技术有限责任公司 | Method and system for counting urban foreign people and resident population based on big data |
| CN112689131A (en) * | 2021-03-12 | 2021-04-20 | 深圳市安软科技股份有限公司 | Gridding-based moving target monitoring method and device and related equipment |
| CN112689131B (en) * | 2021-03-12 | 2021-06-01 | 深圳市安软科技股份有限公司 | Gridding-based moving target monitoring method and device and related equipment |
| CN113837160B (en) * | 2021-11-29 | 2022-04-22 | 天津市中环系统工程有限责任公司 | Method for identifying normally-living people and vehicles without preset information |
| CN113837160A (en) * | 2021-11-29 | 2021-12-24 | 天津市中环系统工程有限责任公司 | Method for identifying normally-living people and vehicles without preset information |
| CN116543438A (en) * | 2023-05-05 | 2023-08-04 | 深圳市齐胜达科技有限公司 | Accurate identification method for dynamically tracking and capturing human face |
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| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 511457 Guangdong city of Guangzhou province Nansha District Golden Road No. 26 room 1306 (only for office use) Applicant after: Yuncong Technology Group Co.,Ltd. Address before: 518000 Guangdong city of Guangzhou province Nansha District Golden Road No. 26 room 1306 Applicant before: GUANGZHOU YUNCONG INFORMATION TECHNOLOGY Co.,Ltd. |
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| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171215 |