CN110728166A - Intelligent monitoring integrated system for confirming track by face recognition - Google Patents
Intelligent monitoring integrated system for confirming track by face recognition Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 37
- 238000012549 training Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000012790 confirmation Methods 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 abstract description 8
- 238000011897 real-time detection Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 13
- 238000000034 method Methods 0.000 description 9
- 238000007726 management method Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 3
- 210000000988 bone and bone Anatomy 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000013500 data storage Methods 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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- 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
- G06V40/168—Feature extraction; Face representation
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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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Abstract
The invention discloses an intelligent monitoring integrated system for confirming a track by face recognition, which consists of an image acquisition part, a face recognition comparison part and a model training part, enters a designated range for monitoring the integrated system, carries out face recognition and monitoring on related locked personnel, analyzes and locks the track in a personnel field through big data analysis, and once the field range is reached, the system can obtain the track of the locked user by feeding back information to the user, and can broadcast and monitor the track in real time through big data analysis aiming at improving the face recognition monitoring system, wherein the system comprises a monitoring system, a control system and a control system, wherein the control system comprises a control system and a control system, the control system comprises: has the characteristics of safety and effectiveness; utilize the control of people's face intelligent recognition, can real-time detection locking personnel move to, real-time recognition face can prevent effectively that the whereabouts of child in certain area from being taken care of from removing, can effectively inform the alarm, is applicable to the control under the circumstances such as indoor children's paradise, can help the paradise to manage and acquire a large amount of data.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to an intelligent monitoring integrated system for confirming a track by face recognition.
Background
The face recognition system takes a face recognition technology as a core, is an emerging biological recognition technology, and is a high-precision technology for the current international scientific and technological field. The method is widely applied to the regional characteristic analysis algorithm, integrates the computer image processing technology and the biological statistics principle, extracts the portrait characteristic points from the video by using the computer image processing technology, and analyzes and establishes the mathematical model by using the biological statistics principle.
Face capture and tracking
Face capture refers to detecting a portrait in an image or frame of a video stream and separating the portrait from the background and automatically saving it. Portrait tracking refers to automatically tracking a specified portrait as it moves within the range of a camera shot, using portrait capture technology.
Face recognition comparison
The face recognition is divided into two comparison modes of verification type and search type. The verification formula is to compare the captured portrait or the designated portrait with a registered portrait in the database to verify whether the portrait is the same person. The search-type comparison means searching and searching for whether a specified portrait exists in all the registered portraits in the database.
Face modeling and retrieval
The system can model the portrait data which is registered and put in storage to extract the characteristics of the human face, and generate a human face template (human face characteristic file) and store the human face template into the database. When face searching is carried out (search formula), a specified portrait is modeled, then the portrait is compared with templates of all persons in a database for identification, and finally the most similar person list is listed according to the compared similarity values.
Real person identification
The system can identify whether the person in front of the camera is a real person or a picture. Thereby preventing the user from using the photo for forgery. This technique requires the user to perform facial expression coordination.
Image quality detection
The quality of the image directly influences the recognition effect, the detection function of the image quality can evaluate the image quality of the photos to be compared, and corresponding suggestion values are given to assist in recognition.
The human face recognition system is a special camera, the judgment speed is quite high, only about 0.01 second is needed, and due to the fact that the human body bone recognition technology is used, even if the human body bone recognition system is easily modified, eyes of the human body recognition system cannot be covered easily. The face recognition system has a storage function, and only a plurality of face features of potentially dangerous key people are input into the storage system, so that the key people can be caught within 0.01 second if the key people break through without permission, and meanwhile, other security centers are alarmed. In addition, certain important areas such as the control center only allow workers with specific identities to enter and exit, and all people who do not store the facial profile information in the system can be rejected.
Big data technology
The big data technology is large and complex in system, and the basic technology comprises various technical categories and different technical levels of data acquisition, data preprocessing, distributed storage, NoSQL (structured query language) database, data warehouse, machine learning, parallel computation, visualization and the like. A generalized big data processing framework is provided firstly and mainly comprises data acquisition and preprocessing, data storage, data cleaning, data query analysis and data visualization.
The existing places with highly dense and concentrated crowd in a certain area are particularly important for the identity discrimination and the tracking of the entering personnel, so that a monitoring system becomes an indispensable place management system and aims to eliminate the potential security problem and improve the whereabouts of the personnel.
Therefore, an intelligent monitoring integrated system for confirming the track by face recognition is needed, which can monitor the track of people entering and exiting the place in real time by face recognition and big data analysis in a certain area, and can perform notification or alarm action once the people leave the specified area, thereby completing the safety precaution effect. And an advanced intelligent face algorithm based on deep learning is adopted to carry out accurate analysis, identification and comparison on the face.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent monitoring integrated system for confirming a track by face recognition, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent monitoring integrated system for confirming a track by face recognition is composed of an image acquisition part, a face recognition comparison part and a model training part,
the image acquisition part comprises a camera, a photo and a video recording part, the camera is a monitoring area camera, the camera is connected with a monitoring camera, and the monitoring camera is connected with a management server of the human face recognition host computer sequentially through a video signal processing module and a computer network; the pictures are shot by a digital camera in advance, and the pictures are uploaded to the human face big data of the model training part for storage; the video recording is carried out by collecting image information by an analog video camera, a digital video camera, a network video camera or a digital camera, sending the image information to a management server of a face recognition host for analysis and processing, and uploading the image information to a model training part for storing face big data;
the face recognition comparison part comprises face preprocessing, feature extraction, feature comparison and face recognition result output;
the big face data of the model training part is connected with a feature model through a Gabor and LBP experience descriptor, and the feature model is respectively connected with feature extraction and feature comparison of the face recognition comparison part.
As a further scheme of the invention, a face video image collected by a camera of the monitoring camera is transmitted to the video signal processing module and is processed, and the video signal processing module transmits the processed video signal and the face image to the face recognition host.
As a further scheme of the invention, the management server of the face recognition host of the face recognition comparison part receives face video image acquisition information of a camera, extracts feature data of a face image and searches and matches with a feature template stored in a database, sets a threshold value, and outputs a result obtained by matching when the similarity exceeds the threshold value.
As a further scheme of the present invention, when the face features to be recognized are compared with the obtained face feature template, the feature extraction is used to extract the face data in the image information for face recognition, so as to generate face recognition information.
As a further scheme of the present invention, the feature comparison is used for comparing the face features to be recognized with the obtained face feature template, and determining the identity information of the face according to the similarity degree, including one-to-one image comparison for confirmation and one-to-many image matching comparison for identification.
In conclusion, compared with the prior art, the invention has the following beneficial effects:
the invention is a monitoring integrated system, enters a designated range, the system carries out face recognition monitoring on related locked personnel, the in-field track of the locked personnel is analyzed and locked through big data, once the in-field track is out of the range of the place, the system can obtain the track of the locked user through feeding back information to the user, and the track can be broadcasted and monitored in real time through big data analysis aiming at improving the face recognition monitoring system: has the characteristics of safety and effectiveness; utilize face intelligent recognition control, can real-time detection locking personnel move to, real-time recognition face can prevent effectively that the whereabouts of watching child in certain area from removing, can effectively inform the alarm, is applicable to the interior orbit of control field under the circumstances such as indoor children's paradise, reminds the head of a family to nurse child or connect alarm system, can help the paradise to manage and obtain a large amount of data.
To more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
Drawings
Fig. 1 is a schematic diagram of the composition of the face recognition system of the present invention.
Detailed Description
The technical solution of the present invention is further described with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, an intelligent monitoring integrated system for confirming a track by face recognition mainly comprises an image acquisition part, a face recognition comparison part and a model training part, wherein the image acquisition part comprises a camera, a photo and a video recording part, the camera is a monitoring area camera, the camera is connected with a monitoring camera, the monitoring camera is connected with a management server of a face recognition host through a video signal processing module and a computer network in sequence, the camera of the monitoring camera acquires a face video image and transmits the acquired face video image to the video signal processing module for video image processing, and the video signal processing module transmits the processed video signal and the face image to the face recognition host; the pictures are shot by a digital camera in advance, and the pictures are uploaded to the human face big data of the model training part for storage; the video recording is carried out by collecting image information by an analog video camera, a digital video camera, a network video camera or a digital camera, sending the image information to a management server of the face recognition host for analysis and processing, and uploading the image information to a model training part for storing face big data.
The face recognition comparison part comprises face preprocessing, feature extraction, feature comparison and face recognition result output, a management server of a face recognition host of the face recognition comparison part receives face video image acquisition information of a camera, searches and matches feature data of an extracted face image with a feature template stored in a database, and outputs a result obtained by matching when the similarity exceeds a threshold value by setting the threshold value.
The big face data of the model training part is connected with a feature model through a Gabor and LBP experience descriptor, the feature model is respectively connected with feature extraction and feature comparison of the face recognition comparison part, the face features to be recognized are compared with the obtained face feature template, and the identity information of the face is judged according to the similarity degree. This process is divided into two categories: one is confirmation, which is a process of performing one-to-one image comparison, and the other is recognition, which is a process of performing one-to-many image matching comparison.
The feature extraction is used for extracting face data in the image information to perform face recognition so as to generate face recognition information;
the feature comparison is used for comparing the human face features to be identified with the obtained human face feature template, and judging the identity information of the human face according to the similarity degree, wherein the image comparison comprises one-to-one image comparison for confirmation and one-to-many image matching comparison for identification.
The working principle of the invention is as follows:
the invention relates to a monitoring integrated system. And when the system enters a specified range, the system carries out face recognition to monitor related locked personnel, the in-field track of the locked personnel is analyzed and locked through big data analysis, and once the in-field track is out of the range of the place, the system feeds back information to the user, so that the track of the locked user can be obtained.
The face recognition technology is mainly performed by extracting and comparing the features of the face image. The face recognition system searches and matches the extracted feature data of the face image with a feature template stored in a database, and outputs a result obtained by matching when the similarity exceeds the threshold by setting a threshold. And comparing the human face features to be recognized with the obtained human face feature template, and judging the identity information of the human face according to the similarity degree. This process is divided into two categories: one is confirmation, which is a process of performing one-to-one image comparison, and the other is recognition, which is a process of performing one-to-many image matching comparison.
The invention adopts the integration of the face recognition technology, and can relieve the staff from repeated and complicated video observation. Through face capture and big database comparison analysis, the big data analysis comprises data transmission, storage and checking, key data can be easily found out, the whereabouts of locking personnel are confirmed, and notification alarm is provided.
The device can broadcast and monitor the trace track in real time through big data analysis aiming at improving the face recognition monitoring system: has the characteristics of safety and effectiveness.
Safety: and the human face is identified and monitored in real time by utilizing the intelligent human face identification.
Effectiveness: and the system feedback system can acquire the whereabouts of the locking personnel for broadcasting through big data analysis and uploading to the system.
Application scenarios: indoor children's paradise
Has the characteristics of convenience and safety.
Convenience: the device is a face recognition monitoring system and can detect the movement of locking personnel in real time.
Safety: the method can effectively prevent the whereabouts of the child under supervision from moving in a certain area, and can effectively inform an alarm.
Specifically, for parents and children, after entering the park, the face recognition system can effectively monitor the track in the park by recognizing and locking the target, and once the parents exit the range of the park, the parents can receive alarm information to remind the parents to nurse the children or connect the alarm system at once.
For the operator of the park, the system can effectively monitor the track of the user entering the park, analyzes the heat of the user playing the machine tables and the sequence information of the playing machine tables through big data, and can help the operator of the park to obtain a large amount of data.
The technical principle of the present invention has been described above with reference to specific embodiments, which are merely preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. Other embodiments of the invention will occur to those skilled in the art without the exercise of inventive faculty, and such will fall within the scope of the invention.
Claims (5)
1. The intelligent monitoring integrated system for confirming the whereabouts by utilizing the face recognition is composed of an image acquisition part, a face recognition comparison part and a model training part, and is characterized in that:
the image acquisition part comprises a camera, a photo and a video recording part, the camera is a monitoring area camera, the camera is connected with a monitoring camera, and the monitoring camera is connected with a management server of the human face recognition host computer sequentially through a video signal processing module and a computer network; the pictures are shot by a digital camera in advance, and the pictures are uploaded to the human face big data of the model training part for storage; the video recording is carried out by collecting image information by an analog video camera, a digital video camera, a network video camera or a digital camera, sending the image information to a management server of a face recognition host for analysis and processing, and uploading the image information to a model training part for storing face big data;
the face recognition comparison part comprises face preprocessing, feature extraction, feature comparison and face recognition result output;
the big face data of the model training part is connected with a feature model through a Gabor and LBP experience descriptor, and the feature model is respectively connected with feature extraction and feature comparison of the face recognition comparison part.
2. The intelligent monitoring integrated system for confirming the whereabouts by using the face recognition as claimed in claim 1, wherein a face video image collected by a camera of the monitoring camera is transmitted to a video signal processing module and is subjected to video image processing, and the video signal processing module transmits the processed video signal and the face image to the face recognition host.
3. The intelligent monitoring and integration system for confirming the whereabouts by the face recognition according to claim 2, wherein the management server of the face recognition host of the face recognition comparison part receives the face video image acquisition information of the camera, extracts the feature data of the face image and searches and matches with the feature template stored in the database, sets a threshold, and outputs the result obtained by matching when the similarity exceeds the threshold.
4. The intelligent monitoring and integration system for confirming the whereabouts by using the human face recognition as claimed in claim 1, wherein when the human face features to be recognized are compared with the obtained human face feature template, the feature extraction is used for extracting the human face data in the image information to perform the human face recognition, so as to generate the human face recognition information.
5. The intelligent monitoring and integration system for confirming the whereabouts by using the human face recognition as claimed in claim 1, wherein the feature comparison is used for comparing the human face features to be recognized with the obtained human face feature templates, and judging the identity information of the human face according to the similarity degree, and the image comparison is performed one-to-one for confirmation and one-to-many for recognition.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111491133A (en) * | 2020-04-09 | 2020-08-04 | 河南城建学院 | Market safety monitoring system applying electronic portrait locking technology |
| CN111653024A (en) * | 2020-06-10 | 2020-09-11 | 创新奇智(成都)科技有限公司 | Warehouse management system, identification method, camera and readable storage medium |
| CN111800428A (en) * | 2020-07-08 | 2020-10-20 | 江苏中协智能科技有限公司 | Real-time statistical method and system for digital conference participation |
| CN111950399A (en) * | 2020-07-28 | 2020-11-17 | 福建省漳州纵文信息科技有限公司 | Intelligent integrated equipment for face recognition and monitoring of computer room |
| CN112037891A (en) * | 2020-09-01 | 2020-12-04 | 上海优景智能科技股份有限公司 | Post-class nursing system based on face recognition technology |
| CN112291315A (en) * | 2020-10-18 | 2021-01-29 | 泰州物族信息科技有限公司 | Wireless communication platform based on big data service |
| CN112949511A (en) * | 2021-03-08 | 2021-06-11 | 中国建筑一局(集团)有限公司 | Construction site personnel management method based on machine learning and image recognition |
| CN113947789A (en) * | 2021-09-09 | 2022-01-18 | 北京品恩科技股份有限公司 | Scene face recognition technology for events |
| CN114187690A (en) * | 2021-11-30 | 2022-03-15 | 深圳市研锐智能科技有限公司 | Enterprise network security protection device based on centralized control probe system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040117638A1 (en) * | 2002-11-21 | 2004-06-17 | Monroe David A. | Method for incorporating facial recognition technology in a multimedia surveillance system |
| CN102201061A (en) * | 2011-06-24 | 2011-09-28 | 常州锐驰电子科技有限公司 | Intelligent safety monitoring system and method based on multilevel filtering face recognition |
| CN106156688A (en) * | 2015-03-10 | 2016-11-23 | 上海骏聿数码科技有限公司 | A kind of dynamic human face recognition methods and system |
| CN108197565A (en) * | 2017-12-29 | 2018-06-22 | 深圳英飞拓科技股份有限公司 | Target based on recognition of face seeks track method and system |
-
2018
- 2018-07-16 CN CN201810775518.0A patent/CN110728166A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040117638A1 (en) * | 2002-11-21 | 2004-06-17 | Monroe David A. | Method for incorporating facial recognition technology in a multimedia surveillance system |
| CN102201061A (en) * | 2011-06-24 | 2011-09-28 | 常州锐驰电子科技有限公司 | Intelligent safety monitoring system and method based on multilevel filtering face recognition |
| CN106156688A (en) * | 2015-03-10 | 2016-11-23 | 上海骏聿数码科技有限公司 | A kind of dynamic human face recognition methods and system |
| CN108197565A (en) * | 2017-12-29 | 2018-06-22 | 深圳英飞拓科技股份有限公司 | Target based on recognition of face seeks track method and system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111491133A (en) * | 2020-04-09 | 2020-08-04 | 河南城建学院 | Market safety monitoring system applying electronic portrait locking technology |
| CN111653024A (en) * | 2020-06-10 | 2020-09-11 | 创新奇智(成都)科技有限公司 | Warehouse management system, identification method, camera and readable storage medium |
| CN111800428A (en) * | 2020-07-08 | 2020-10-20 | 江苏中协智能科技有限公司 | Real-time statistical method and system for digital conference participation |
| CN111950399A (en) * | 2020-07-28 | 2020-11-17 | 福建省漳州纵文信息科技有限公司 | Intelligent integrated equipment for face recognition and monitoring of computer room |
| CN112037891A (en) * | 2020-09-01 | 2020-12-04 | 上海优景智能科技股份有限公司 | Post-class nursing system based on face recognition technology |
| CN112291315A (en) * | 2020-10-18 | 2021-01-29 | 泰州物族信息科技有限公司 | Wireless communication platform based on big data service |
| CN112291315B (en) * | 2020-10-18 | 2021-05-28 | 盛夏 | Wireless communication platform based on big data service |
| CN112949511A (en) * | 2021-03-08 | 2021-06-11 | 中国建筑一局(集团)有限公司 | Construction site personnel management method based on machine learning and image recognition |
| CN113947789A (en) * | 2021-09-09 | 2022-01-18 | 北京品恩科技股份有限公司 | Scene face recognition technology for events |
| CN114187690A (en) * | 2021-11-30 | 2022-03-15 | 深圳市研锐智能科技有限公司 | Enterprise network security protection device based on centralized control probe system |
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Application publication date: 20200124 |