CN116778487A - System and method for adding unique identifier to personal head at monitoring interface - Google Patents
System and method for adding unique identifier to personal head at monitoring interface Download PDFInfo
- Publication number
- CN116778487A CN116778487A CN202311008136.2A CN202311008136A CN116778487A CN 116778487 A CN116778487 A CN 116778487A CN 202311008136 A CN202311008136 A CN 202311008136A CN 116778487 A CN116778487 A CN 116778487A
- Authority
- CN
- China
- Prior art keywords
- module
- unique identifier
- video image
- face
- head
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000005286 illumination Methods 0.000 claims abstract description 10
- 238000000605 extraction Methods 0.000 claims description 13
- 238000007781 pre-processing Methods 0.000 claims description 13
- 230000001815 facial effect Effects 0.000 claims description 7
- 230000036544 posture Effects 0.000 abstract description 7
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 238000013461 design Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
Abstract
The application belongs to the technical field of artificial intelligence and computer vision, and particularly relates to a system and a method for adding a unique identifier to a personal head on a monitoring interface. The method comprises the steps of collecting video image signals through a video image collecting module, identifying faces in the video image signals through a face recognition module, extracting face features, generating unique identifiers based on the face features through a unique identifier generating module, and updating the positions and the shapes of the unique identifiers in real time through an identification position updating module according to the real-time positions, the head postures and the illumination conditions of the faces. Unique identifiers are added to each identified head in the monitoring interface, so that specific individuals can be identified and tracked quickly, and the monitoring efficiency is improved.
Description
Technical Field
The application belongs to the technical field of artificial intelligence and computer vision, and particularly relates to a system and a method for adding a unique identifier to a personal head on a monitoring interface.
Background
Along with the development of society, a monitoring system is one of the most applied systems in security systems, the monitoring plays an increasingly larger role in production and life, and becomes an indispensable safety barrier in life of people, public areas such as banks, supermarkets, malls, storefronts, factories, schools, communities, internet cafes, public transportation and the like are self-evident to the need of monitoring, and along with the construction of safe cities, the monitoring system is integrated into our life to play an important role.
However, existing monitoring is difficult for a monitoring manager to accurately identify a particular individual in a location where a large population is collected, because many people look similar or may wear masks or camouflage. When a monitoring manager needs to find a specific individual, a large number of monitoring videos need to be searched manually, which consumes a great deal of time and effort.
Therefore, the existing monitoring system is improved to solve the technical problems that a monitoring manager in the existing monitoring system can hardly accurately identify a specific individual, and when the monitoring manager needs to search for a specific individual, a large number of monitoring videos need to be searched manually, so that huge time and energy are consumed.
Disclosure of Invention
The application aims to provide a system and a method for adding a unique identifier to the head of a person on a monitoring interface, which are used for solving the technical problems that a monitoring manager in the existing monitoring system is difficult to accurately identify a specific individual, and when the monitoring manager needs to search a specific individual, a large number of monitoring videos need to be searched manually, so that huge time and energy are consumed.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, a system for adding a unique identifier to a head of a person at a monitoring interface is provided, including a video image acquisition module, a face recognition module, a unique identifier generation module, and an identifier location update module;
the signal output end of the video image acquisition module is connected with the signal input end of the face recognition module, the signal output end of the face recognition module is connected with the signal input end of the unique identifier generation module, and the signal output end of the unique identifier generation module is connected with the signal input end of the face recognition module and the signal input end of the identification position updating module;
the video image acquisition module is used for acquiring video image signals and transmitting the video image signals to the face recognition module;
the face recognition module is used for recognizing faces in the video image signals and extracting face features;
the unique identifier generation module generates a unique identifier according to the face characteristics and associates the unique identifier with the recognition result of the face;
the identification position updating module updates the position and the shape of the unique identifier in real time according to the real-time position, the head gesture and the illumination condition of the face.
Preferably, the unique identifier generation module generates unique identifiers based on facial features, each unique identifier being unique.
Preferably, the unique identifier overlays the head position of the individual in the video image.
Preferably, the face recognition module comprises a preprocessing module and a feature extraction module, wherein a signal input end of the preprocessing module is connected with a signal output end of the video image acquisition module, a signal output end of the preprocessing module is connected with a signal input end of the feature extraction module, the preprocessing module is used for denoising the video image signal acquired by the video image acquisition module, adjusting the size and contrast of the image, and the feature extraction module is used for extracting face features in the video image signal.
Preferably, the face recognition module further comprises a feature comparison module and a database, wherein the signal input end of the feature comparison module is connected with the signal output end of the feature extraction module, and the signal output end of the database is connected with the signal input end of the feature comparison module.
Preferably, the database includes face information of all individuals to whom unique identifiers have been added.
In a second aspect, a method for adding a unique identifier to a person's head at a monitoring interface is provided, comprising the steps of:
s1: collecting video image signals and transmitting the video image signals to a face recognition module;
s2: recognizing a human face in the video image signal, and extracting human face characteristics;
s3: generating a unique identifier according to the face characteristics and correlating with the face recognition result;
s4: and updating the position and the shape of the unique identifier in real time according to the real-time position, the head posture and the illumination condition of the face.
Preferably, the method further comprises the following specific steps before the step S3:
s30: comparing the extracted face features with the face features in the database, if the face features exist in the database, directly using unique identifiers of the face features in the database, otherwise, executing S31;
s31: the unique identifier is newly generated.
The beneficial effects of the application include:
the system and the method for adding the unique identifier to the head of the person on the monitoring interface provided by the application are characterized in that the video image acquisition module is used for acquiring video image signals, the face recognition module is used for recognizing the face in the video image signals and extracting the face characteristics, the unique identifier is generated based on the face characteristics through the unique identifier generation module, and the position and the shape of the unique identifier are updated in real time through the identification position updating module according to the real-time position, the head posture and the illumination condition of the face. The unique identifier is added to each identified head of the person in the monitoring interface, so that specific individuals are identified and tracked quickly and accurately, and when monitoring personnel need to search a specific individual, the monitoring personnel do not need to search a large number of monitoring videos manually, so that huge time and energy are consumed, and the monitoring efficiency is improved effectively.
Drawings
FIG. 1 is a schematic diagram of the system for adding a unique identifier to a person's head at a monitoring interface in accordance with the present application.
FIG. 2 is a flow chart of a method of adding a unique identifier to a person's head at a monitoring interface in accordance with the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
The present application will present various aspects, embodiments, or features about a system that may include a plurality of devices, components, modules, etc. It is to be understood and appreciated that the various systems may include additional devices, components, modules, etc. and/or may not include all of the devices, components, modules etc. discussed in connection with the figures. Furthermore, combinations of these schemes may also be used.
In addition, in the embodiments of the present application, words such as "exemplary," "for example," and the like are used to indicate an example, instance, or illustration. Any embodiment or design described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the term use of an example is intended to present concepts in a concrete fashion.
In the embodiment of the present application, "information", "signal", "message", "channel", and "signaling" may be used in a mixed manner, and it should be noted that the meaning of the expression is consistent when the distinction is not emphasized. "of", "corresponding" and "corresponding" are sometimes used in combination, and it should be noted that the meaning of the expression is consistent when the distinction is not emphasized.
The application is further described in detail below with reference to fig. 1-2:
referring to fig. 1, a system for adding a unique identifier to a head of a person at a monitoring interface includes a video image acquisition module, a face recognition module, a unique identifier generation module, and an identifier location update module. The signal output end of the video image acquisition module is connected with the signal input end of the face recognition module, the signal output end of the face recognition module is connected with the signal input end of the unique identifier generation module, and the signal output end of the unique identifier generation module is connected with the signal input end of the face recognition module and the signal input end of the mark position updating module.
The video image acquisition module is used for acquiring video image signals and transmitting the video image signals to the face recognition module, the face recognition module is used for recognizing faces in the video image signals and extracting face features, the unique identifier generation module generates unique identifiers according to the face features and correlates the unique identifiers with the recognition results of the faces, and the identification position updating module updates the positions and the shapes of the unique identifiers in real time according to the real-time positions, the head postures and the illumination conditions of the faces.
In the scheme, firstly, a video image signal is acquired through a video image acquisition module, the video image signal is transmitted to a face recognition module, then the face recognition module extracts the face characteristics and transmits the face characteristics to a unique identifier generation module, the unique identifier generation module generates a unique identifier according to the face characteristics, and an identification position updating module updates the position and the shape of the unique identifier in real time according to the real-time position, the head posture and the illumination condition of the face.
According to the system, a unique identifier is added to each identified personal head at the monitoring interface, so that monitoring management personnel can identify and track specific individuals more easily, quickly and accurately, when the monitoring personnel need to search for a specific individual, the monitoring personnel do not need to search for a large number of monitoring videos manually, a large amount of time and energy are saved, and the monitoring efficiency is effectively improved.
The unique identifier generation module generates unique identifiers based on the facial features, each unique identifier being unique, the unique identifiers overlaying a head position of a person in the video image.
The face recognition module comprises a preprocessing module and a feature extraction module, wherein the signal input end of the preprocessing module is connected with the signal output end of the video image acquisition module, the signal output end of the preprocessing module is connected with the signal input end of the feature extraction module, the preprocessing module is used for denoising the video image signal acquired by the video image acquisition module, adjusting the image size and the contrast ratio, and the feature extraction module is used for extracting the face features in the video image signal.
The face recognition module further comprises a feature comparison module and a database, wherein the signal input end of the feature comparison module is connected with the signal output end of the feature extraction module, the signal output end of the database is connected with the signal input end of the feature comparison module, and the database comprises face information of all individuals added with the unique identifiers.
In the above scheme, because the video image signal collected by the video image collecting module has problems of noise, image size, contrast and the like, the preprocessing module is required to perform denoising processing on the video image signal and adjust the size and contrast of the video image so as to improve the accuracy of face recognition.
After denoising the video image signal and adjusting the size and contrast of the video image signal, extracting the facial features of the video image signal by a feature extraction module, transmitting the facial features to a feature comparison module, and comparing the acquired facial features with the facial information added with the unique identifier in the database by the feature comparison module.
The system further includes a unique identifier retrieval module, the unique identifier retrieval module having a signal input coupled to the signal output of the feature comparison module, the unique identifier retrieval module coupled to the database.
If the same face information is compared in the database, directly calling the unique identifier of the face information to cover the head position in the video image; if the same face information is not compared in the database, a unique identifier is generated for the face by a unique identifier generation module and overlaid onto the head position of the person in the video image.
Referring to fig. 2, the present application also provides a method for adding a unique identifier to a person's head at a monitoring interface, comprising the steps of:
s1: collecting video image signals and transmitting the video image signals to a face recognition module;
s2: recognizing a human face in the video image signal, and extracting human face characteristics;
s3: generating a unique identifier according to the face characteristics and correlating with the face recognition result;
s4: and updating the position and the shape of the unique identifier in real time according to the real-time position, the head posture and the illumination condition of the face.
Preferably, the method further comprises the following specific steps before the step S3:
s30: comparing the extracted face features with the face features in the database, if the face features exist in the database, directly using unique identifiers of the face features in the database, otherwise, executing S31;
s31: the unique identifier is newly generated.
In summary, the system and the method for adding the unique identifier to the head of the person at the monitoring interface provided by the application acquire the video image signals through the video image acquisition module, identify the face in the video image signals through the face recognition module, extract the face characteristics, generate the unique identifier based on the face characteristics through the unique identifier generation module, and update the position and the shape of the unique identifier in real time through the identification position updating module according to the real-time position, the head posture and the illumination condition of the face. The unique identifier is added to each identified head of the person in the monitoring interface, so that specific individuals are identified and tracked quickly and accurately, and when monitoring personnel need to search a specific individual, the monitoring personnel do not need to search a large number of monitoring videos manually, so that huge time and energy are consumed, and the monitoring efficiency is improved effectively. The system can be applied to various monitoring scenes such as indoor, outdoor, daytime, night and the like, and has good expansibility and practicability.
The above examples merely illustrate specific embodiments of the application, which are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that it is possible for a person skilled in the art to make several variants and modifications without departing from the technical idea of the application, which fall within the scope of protection of the application.
Claims (8)
1. The system for adding the unique identifier to the head of the person on the monitoring interface is characterized by comprising a video image acquisition module, a face recognition module, a unique identifier generation module and an identifier position updating module;
the signal output end of the video image acquisition module is connected with the signal input end of the face recognition module, the signal output end of the face recognition module is connected with the signal input end of the unique identifier generation module, and the signal output end of the unique identifier generation module is connected with the signal input end of the face recognition module and the signal input end of the identification position updating module;
the video image acquisition module is used for acquiring video image signals and transmitting the video image signals to the face recognition module;
the face recognition module is used for recognizing faces in the video image signals and extracting face features;
the unique identifier generation module generates a unique identifier according to the face characteristics and associates the unique identifier with the recognition result of the face;
the identification position updating module updates the position and the shape of the unique identifier in real time according to the real-time position, the head gesture and the illumination condition of the face.
2. A system for adding a unique identifier to a head of a person at a monitoring interface in accordance with claim 1, wherein said unique identifier generating module generates unique identifiers based on facial features, each of said unique identifiers being unique.
3. A system for adding a unique identifier to a person's head at a monitoring interface in accordance with claim 2, wherein the unique identifier overlays the person's head position in the video image.
4. The system for adding a unique identifier to a head of a person at a monitoring interface according to claim 1, wherein the face recognition module comprises a preprocessing module and a feature extraction module, a signal input end of the preprocessing module is connected with a signal output end of the video image acquisition module, a signal output end of the preprocessing module is connected with a signal input end of the feature extraction module, the preprocessing module is used for denoising a video image signal acquired by the video image acquisition module, adjusting the size and contrast of the image, and the feature extraction module is used for extracting face features in the video image signal.
5. The system for adding a unique identifier to a person's head at a monitoring interface of claim 4, wherein the face recognition module further comprises a feature comparison module and a database, the signal input of the feature comparison module being coupled to the signal output of the feature extraction module, the signal output of the database being coupled to the signal input of the feature comparison module.
6. The system for adding unique identifiers to a person's head at a monitoring interface of claim 5, wherein the database includes face information for all persons to whom unique identifiers have been added.
7. A method of adding a unique identifier to a personal head at a monitoring interface, using a system for adding a unique identifier to a personal head at a monitoring interface according to any of claims 1-6, comprising the steps of:
s1: collecting video image signals and transmitting the video image signals to a face recognition module;
s2: recognizing a human face in the video image signal, and extracting human face characteristics;
s3: generating a unique identifier according to the face characteristics and correlating with the face recognition result;
s4: and updating the position and the shape of the unique identifier in real time according to the real-time position, the head posture and the illumination condition of the face.
8. The method of adding a unique identifier to a person' S head at a monitoring interface of claim 7, further comprising the specific step of, prior to step S3:
s30: comparing the extracted face features with the face features in the database, if the face features exist in the database, directly using unique identifiers of the face features in the database, otherwise, executing S31;
s31: the unique identifier is newly generated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311008136.2A CN116778487A (en) | 2023-08-11 | 2023-08-11 | System and method for adding unique identifier to personal head at monitoring interface |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311008136.2A CN116778487A (en) | 2023-08-11 | 2023-08-11 | System and method for adding unique identifier to personal head at monitoring interface |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116778487A true CN116778487A (en) | 2023-09-19 |
Family
ID=87994809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311008136.2A Pending CN116778487A (en) | 2023-08-11 | 2023-08-11 | System and method for adding unique identifier to personal head at monitoring interface |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116778487A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095831A (en) * | 2014-05-04 | 2015-11-25 | 深圳市贝尔信智能系统有限公司 | Face recognition method, device and system |
| CN109325463A (en) * | 2018-10-16 | 2019-02-12 | 浙江中正智能科技有限公司 | A kind of real time face tracking method |
| CN109800691A (en) * | 2019-01-07 | 2019-05-24 | 深圳英飞拓科技股份有限公司 | Demographics method and system based on face recognition technology |
| CN112101200A (en) * | 2020-09-15 | 2020-12-18 | 北京中合万象科技有限公司 | Human face anti-recognition method, system, computer equipment and readable storage medium |
| WO2021169257A1 (en) * | 2020-02-24 | 2021-09-02 | 北京三快在线科技有限公司 | Face recognition |
| US20220150582A1 (en) * | 2020-11-11 | 2022-05-12 | Rovi Guides, Inc. | Systems and methods for providing media recommendations |
| CN116386106A (en) * | 2023-03-16 | 2023-07-04 | 宁波星巡智能科技有限公司 | Intelligent infant head recognition method, device and equipment during sleep-accompanying infant |
-
2023
- 2023-08-11 CN CN202311008136.2A patent/CN116778487A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095831A (en) * | 2014-05-04 | 2015-11-25 | 深圳市贝尔信智能系统有限公司 | Face recognition method, device and system |
| CN109325463A (en) * | 2018-10-16 | 2019-02-12 | 浙江中正智能科技有限公司 | A kind of real time face tracking method |
| CN109800691A (en) * | 2019-01-07 | 2019-05-24 | 深圳英飞拓科技股份有限公司 | Demographics method and system based on face recognition technology |
| WO2021169257A1 (en) * | 2020-02-24 | 2021-09-02 | 北京三快在线科技有限公司 | Face recognition |
| CN112101200A (en) * | 2020-09-15 | 2020-12-18 | 北京中合万象科技有限公司 | Human face anti-recognition method, system, computer equipment and readable storage medium |
| US20220150582A1 (en) * | 2020-11-11 | 2022-05-12 | Rovi Guides, Inc. | Systems and methods for providing media recommendations |
| CN116386106A (en) * | 2023-03-16 | 2023-07-04 | 宁波星巡智能科技有限公司 | Intelligent infant head recognition method, device and equipment during sleep-accompanying infant |
Non-Patent Citations (2)
| Title |
|---|
| 郭思雨: "基于匿名化技术的人脸图像隐私保护方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 12, pages 138 - 63 * |
| 黄如强等: "生物特征识别技术及其在军事领域中的应用", 《医疗卫生装备》, vol. 39, no. 3, pages 94 - 98 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106998444B (en) | Big data face monitoring system | |
| CN110855935B (en) | Personnel track generation system and method based on multiple cameras | |
| CN106845373A (en) | Towards pedestrian's attribute forecast method of monitor video | |
| CN111159387B (en) | Recommendation method based on multi-dimensional alarm information text similarity analysis | |
| CN110414441B (en) | Pedestrian track analysis method and system | |
| CN104318217A (en) | Face recognition information analysis method and system based on distributed cloud computing | |
| CN109544754B (en) | Access control method and system based on face recognition and computer equipment | |
| CN101311947A (en) | Real time intelligent control method based on natural video frequency | |
| CN111414854A (en) | Target crowd trajectory tracking method and device | |
| CN107016361A (en) | Recognition methods and device based on video analysis | |
| CN105872979B (en) | A kind of method and device obtaining crowd's information in setting place | |
| CN104850841A (en) | Elder abnormal behavior monitoring method with combination of RFID and video identification | |
| CN109961031A (en) | Face fusion identifies identification, target person information display method, early warning supervision method and system | |
| CN110533011B (en) | Detection method and detection system for issuing leaflet behavior | |
| CN110956188A (en) | Population behavior track digital coding method based on mobile communication signaling data | |
| CN113065515A (en) | Abnormal behavior intelligent detection method and system based on similarity graph neural network | |
| CN112699328A (en) | Network point service data processing method, device, system, equipment and storage medium | |
| CN109544718A (en) | A kind of Work attendance method and its system | |
| CN102682283A (en) | Dynamic face recognition system | |
| CN112241687A (en) | Face recognition method and system with strange face library function | |
| CN115620471A (en) | Image identification security system based on big data screening | |
| CN110324589A (en) | A kind of monitoring system and method for tourist attraction | |
| CN109977856A (en) | Complex behavior knows method for distinguishing in a kind of multisource video | |
| CN111343419B (en) | City security system based on social surface surveillance camera | |
| CN112686226A (en) | Big data management method and device based on gridding management and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |