CN112651273A - AI intelligent camera tracking method - Google Patents
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- CN112651273A CN112651273A CN202010852562.4A CN202010852562A CN112651273A CN 112651273 A CN112651273 A CN 112651273A CN 202010852562 A CN202010852562 A CN 202010852562A CN 112651273 A CN112651273 A CN 112651273A
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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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/695—Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
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Abstract
The invention discloses an AI intelligent camera tracking method, which comprises the following steps: s1, collecting information of all workers in the working area, recording information such as names, sexes, contact ways and identification numbers of the workers through a basic information editing module in the information recording unit, collecting facial images of the corresponding workers through a facial feature collecting module, and sending the information to the inside of the storage unit through the central processing system for storage; the invention relates to the technical field of AI intelligence. According to the AI intelligent shooting tracking method, the basic information and the image behavior of a single person are extracted through video decoding and frame extraction, image optimization processing is performed, shooting tracking is performed on the basic information and the image behavior, behavior events in shooting are analyzed and judged, so that whether violation behaviors occur to the staff is judged, intelligent shooting tracking is achieved, and the staff can be continuously guaranteed to standardize operation behaviors in real time.
Description
Technical Field
The invention relates to the technical field of AI intelligence, in particular to an AI intelligent camera tracking method.
Background
Artificial intelligence, abbreviated as AI, is a new technical science of studying, developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence, which is a branch of computer science, which attempts to understand the essence of intelligence and produces a new intelligent machine that can react in a manner similar to human intelligence, the research in the field comprises robots, language recognition, image recognition, natural language processing, expert systems and the like, artificial intelligence has matured day by day in theory and technology since birth, the application field is expanded continuously, it is conceivable that the scientific and technological products brought by the artificial intelligence in the future will be 'containers' of human intelligence, the artificial intelligence can simulate the information process of human consciousness and thinking, and the artificial intelligence is not human intelligence but can think like a human and can exceed the human intelligence.
In order to improve the behavior specification of post personnel during the post period, a monitoring system is arranged in a working area, the monitoring system is used for avoiding the occurrence of lazy behaviors such as leaving the post and sleeping of personnel, and monitoring the behaviors of stealing and damaging articles, and more workers are arranged in the working area.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an AI intelligent camera tracking method, which solves the problems that the prior monitoring camera adopts a cluster mode to collect, so that the omission of collected personnel is easy to cause, the intelligent camera tracking of single personnel cannot be realized, and then the personnel behavior cannot be supervised, so that the monitoring system has certain limitation.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: an AI intelligent camera tracking method specifically comprises the following steps:
s1, collecting information of all workers in the working area, recording information such as names, sexes, contact ways and identification numbers of the workers through a basic information editing module in the information recording unit, collecting facial images of the corresponding workers through a facial feature collecting module, and sending the information to the inside of the storage unit through the central processing system for storage;
s2, monitoring personnel behaviors in a working area through an AI intelligent camera, decoding recorded videos through an image decoding frame extraction module and extracting frame numbers to be analyzed according to a control instruction sent by a central processing system, optimizing and clearly processing internal images of the extracted frames after the frame numbers are extracted through an image optimization processing module, identifying and segmenting all faces appearing in the sampled frames through a face detection snapshot module, extracting face information of monitoring personnel tracking and shooting according to the requirements, filtering other personnel, and displaying basic information recorded in advance by the personnel on a monitor through an attribute feature display module;
s3, after the personnel information is extracted according to S2, the personnel is subjected to key intelligent tracking through an intelligent follow-shooting module, the dynamic behavior of the personnel is subjected to key monitoring through a video analysis unit, the behavior characteristics of the personnel in a working area are extracted through a behavior characteristic extraction module, the behavior of the personnel in a video is analyzed through a behavior analysis module, the system is configured with personnel leaving off duty, the personnel sleep, the personnel play mobile phones, the personnel steal and damage articles and the personnel smoking detection events, the behavior characteristics and the characteristic objects are subjected to multi-dimensional analysis, whether the personnel behavior reaches an event detection threshold value is judged, and finally the specific behavior of the personnel is judged through a behavior judgment module;
and S4, according to the step S4, the central processing system sends the video file of the event behavior of the person to the monitor through the wireless transmission module, the monitoring person knows the misoperation behavior of the person by checking the monitor, and finally the monitoring person sends the alarm information and the voice file to the intelligent terminal of the person through the wireless transmission module.
Preferably, in step S1, the output end of the information recording unit is electrically connected to the input end of the central processing system through a wire, and the central processing system is in bidirectional connection with the storage unit through wireless.
Preferably, in step S1, the information entry unit includes a basic information editing module and a facial feature collection module.
Preferably, in step S2, the AI smart camera is wirelessly connected to the image processing unit in a bidirectional manner, and an output end of the image processing unit is electrically connected to an input end of the face detection snapshot module through a wire.
Preferably, in step S2, the output terminal of the face detection snapshot module is electrically connected to the input terminal of the attribute characteristic display module through a wire, and the attribute characteristic display module is connected to the central processing system in a bidirectional manner through a wireless connection.
Preferably, in step S3, the input end of the intelligent photo tracking module is electrically connected to the output end of the central processing system through a wire, and the video analysis unit includes a behavior feature extraction module.
Preferably, in step S3, the output end of the behavior feature extraction module is electrically connected to the input end of the behavior analysis module through a wire, and the output end of the behavior analysis module is electrically connected to the input end of the behavior determination module through a wire.
Preferably, in step S4, the monitor is connected to the wireless transmission module in a bidirectional manner, the output end of the monitor is electrically connected to the input end of the alarm prompt module through a wire, and the output end of the alarm prompt module is electrically connected to the input end of the wireless transmission module through a wire.
(III) advantageous effects
The invention provides an AI intelligent camera tracking method. The method has the following beneficial effects: according to the AI intelligent shooting tracking method, all workers in a working area are subjected to information acquisition through S1, information such as names, sexes, contact ways, identification numbers and the like of the workers are recorded through a basic information editing module in an information recording unit, facial images of the corresponding workers are acquired through a facial feature acquisition module, and the information is sent to the inside of a storage unit through a central processing system to be stored; s2, monitoring personnel behaviors in a working area through an AI intelligent camera, decoding recorded videos through an image decoding frame extraction module and extracting frame numbers to be analyzed according to a control instruction sent by a central processing system, optimizing and clearly processing internal images of the extracted frames after the frame numbers are extracted through an image optimization processing module, identifying and segmenting all faces appearing in the sampled frames through a face detection snapshot module, extracting face information of monitoring personnel tracking and shooting according to the requirements, filtering other personnel, and displaying basic information recorded in advance by the personnel on a monitor through an attribute feature display module; s3, after the personnel information is extracted according to S2, the personnel is subjected to key intelligent tracking through an intelligent follow-shooting module, the dynamic behavior of the personnel is subjected to key monitoring through a video analysis unit, the behavior characteristics of the personnel in a working area are extracted through a behavior characteristic extraction module, the behavior of the personnel in a video is analyzed through a behavior analysis module, the system is configured with personnel leaving off duty, the personnel sleep, the personnel play mobile phones, the personnel steal and damage articles and the personnel smoking detection events, the behavior characteristics and the characteristic objects are subjected to multi-dimensional analysis, whether the personnel behavior reaches an event detection threshold value is judged, and finally the specific behavior of the personnel is judged through a behavior judgment module; s4, according to S4, the central processing system sends the video file of the event behavior of the personnel to the monitor through the wireless transmission module, the monitoring personnel know the misoperation behavior of the personnel by checking the monitor, finally the monitoring personnel send the alarm information and the voice file to the intelligent terminal of the personnel through the wireless transmission module, the basic information and the image behavior of the single personnel are extracted through video decoding and frame extraction, image optimization processing is carried out on the image, shooting tracking is carried out on the image, the behavior event in the shooting is analyzed and judged, and therefore whether the illegal behavior of the personnel occurs or not is judged, intelligent tracking shooting is achieved, and the normal operation behavior of the personnel is continuously guaranteed in real time.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the information entry unit of the present invention;
FIG. 3 is a schematic block diagram of the structure of an image processing unit according to the present invention;
fig. 4 is a schematic block diagram of the structure of the video analysis unit of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a method for AI intelligent camera tracking extracts frame by decoding video, extracts basic information and image behavior of a single person by image optimization processing, carries out camera tracking on the extracted basic information and image behavior, analyzes and judges behavior events in camera shooting, thereby judging whether the illegal behavior of the staff occurs, realizing intelligent tracking camera shooting, continuously ensuring the staff to standardize operation behavior in real time, and specifically comprises the following steps:
s1, collecting information of all workers in the working area, recording information such as names, sexes, contact ways and identification numbers of the workers through a basic information editing module in the information recording unit, collecting facial images of the corresponding workers through a facial feature collecting module, and sending the information to the inside of the storage unit through the central processing system for storage;
s2, monitoring personnel behaviors in a working area through an AI intelligent camera, decoding recorded videos through an image decoding frame extraction module and extracting frame numbers to be analyzed according to a control instruction sent by a central processing system, optimizing and clearly processing internal images of the extracted frames after the frame numbers are extracted through an image optimization processing module, identifying and segmenting all faces appearing in the sampled frames through a face detection snapshot module, extracting face information of monitoring personnel tracking and shooting according to the requirements, filtering other personnel, and displaying basic information recorded in advance by the personnel on a monitor through an attribute feature display module;
s3, after the personnel information is extracted according to S2, the personnel is subjected to key intelligent tracking through an intelligent follow-shooting module, the dynamic behavior of the personnel is subjected to key monitoring through a video analysis unit, the behavior characteristics of the personnel in a working area are extracted through a behavior characteristic extraction module, the behavior of the personnel in a video is analyzed through a behavior analysis module, the system is configured with personnel leaving off duty, the personnel sleep, the personnel play mobile phones, the personnel steal and damage articles and the personnel smoking detection events, the behavior characteristics and the characteristic objects are subjected to multi-dimensional analysis, whether the personnel behavior reaches an event detection threshold value is judged, and finally the specific behavior of the personnel is judged through a behavior judgment module;
and S4, according to the step S4, the central processing system sends the video file of the event behavior of the person to the monitor through the wireless transmission module, the monitoring person knows the misoperation behavior of the person by checking the monitor, and finally the monitoring person sends the alarm information and the voice file to the intelligent terminal of the person through the wireless transmission module.
In the invention, in step S1, the output end of the information recording unit is electrically connected with the input end of the central processing system through a wire, the central processing system realizes bidirectional connection with the storage unit through wireless, the central processing system is used as the operation and control core of the computer system and is the final execution unit of information processing and program operation, the CPU has made great development on the extension of logic structure, operation efficiency and function since the production, and the model of the central processing system is ARM 9.
In the present invention, in step S1, the information entry unit includes a basic information editing module and a facial feature acquisition module.
In the invention, in step S2, the AI smart camera is in bidirectional connection with the image processing unit through wireless, and the output end of the image processing unit is electrically connected with the input end of the face detection snapshot module through a lead.
In the invention, in step S2, the output terminal of the face detection snapshot module is electrically connected to the input terminal of the attribute characteristic display module through a wire, and the attribute characteristic display module is in bidirectional connection with the central processing system through wireless.
In step S3, the input terminal of the intelligent photo tracking module is electrically connected to the output terminal of the central processing system via a wire, and the video analysis unit includes a behavior feature extraction module.
In step S3, the output terminal of the behavior feature extraction module is electrically connected to the input terminal of the behavior analysis module through a wire, and the output terminal of the behavior analysis module is electrically connected to the input terminal of the behavior determination module through a wire.
In the present invention, in step S4, the monitor is connected to the wireless transmission module in a bidirectional manner, the output terminal of the monitor is electrically connected to the input terminal of the alarm prompt module through a wire, and the output terminal of the alarm prompt module is electrically connected to the input terminal of the wireless transmission module through a wire, the wireless transmission module is a module for performing wireless transmission by using a wireless technology, and is widely applied to the fields of computer wireless network, wireless communication, wireless control, etc., and the wireless transmission module mainly comprises a transmitter, a receiver and a controller.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An AI intelligent camera tracking method is characterized in that: the method specifically comprises the following steps:
s1, collecting information of all workers in the working area, recording information such as names, sexes, contact ways and identification numbers of the workers through a basic information editing module in the information recording unit, collecting facial images of the corresponding workers through a facial feature collecting module, and sending the information to the inside of the storage unit through the central processing system for storage;
s2, monitoring personnel behaviors in a working area through an AI intelligent camera, decoding recorded videos through an image decoding frame extraction module and extracting frame numbers to be analyzed according to a control instruction sent by a central processing system, optimizing and clearly processing internal images of the extracted frames after the frame numbers are extracted through an image optimization processing module, identifying and segmenting all faces appearing in the sampled frames through a face detection snapshot module, extracting face information of monitoring personnel tracking and shooting according to the requirements, filtering other personnel, and displaying basic information recorded in advance by the personnel on a monitor through an attribute feature display module;
s3, after the personnel information is extracted according to S2, the personnel is subjected to key intelligent tracking through an intelligent follow-shooting module, the dynamic behavior of the personnel is subjected to key monitoring through a video analysis unit, the behavior characteristics of the personnel in a working area are extracted through a behavior characteristic extraction module, the behavior of the personnel in a video is analyzed through a behavior analysis module, the system is configured with personnel leaving off duty, the personnel sleep, the personnel play mobile phones, the personnel steal and damage articles and the personnel smoking detection events, the behavior characteristics and the characteristic objects are subjected to multi-dimensional analysis, whether the personnel behavior reaches an event detection threshold value is judged, and finally the specific behavior of the personnel is judged through a behavior judgment module;
and S4, according to the step S4, the central processing system sends the video file of the event behavior of the person to the monitor through the wireless transmission module, the monitoring person knows the misoperation behavior of the person by checking the monitor, and finally the monitoring person sends the alarm information and the voice file to the intelligent terminal of the person through the wireless transmission module.
2. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S1, the output end of the information recording unit is electrically connected to the input end of the central processing system through a wire, and the central processing system is connected to the storage unit in a bidirectional manner through a wireless connection.
3. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S1, the information entry unit includes a basic information editing module and a facial feature collection module.
4. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S2, the AI smart camera is connected to the image processing unit in a wireless manner, and the output terminal of the image processing unit is electrically connected to the input terminal of the face detection snapshot module through a wire.
5. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S2, the output terminal of the face detection snapshot module is electrically connected to the input terminal of the attribute characteristic display module through a wire, and the attribute characteristic display module is connected to the central processing system in a bidirectional manner through a wireless connection.
6. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S3, the input end of the intelligent photo tracking module is electrically connected to the output end of the central processing system through a wire, and the video analysis unit includes a behavior feature extraction module.
7. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S3, the output end of the behavior feature extraction module is electrically connected to the input end of the behavior analysis module through a wire, and the output end of the behavior analysis module is electrically connected to the input end of the behavior determination module through a wire.
8. The AI intelligent camera tracking method according to claim 1, characterized in that: in step S4, the monitor is connected to the wireless transmission module in a bidirectional manner, the output end of the monitor is electrically connected to the input end of the alarm prompt module through a wire, and the output end of the alarm prompt module is electrically connected to the input end of the wireless transmission module through a wire.
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| CN202010852562.4A CN112651273A (en) | 2020-08-21 | 2020-08-21 | AI intelligent camera tracking method |
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| CN202010852562.4A CN112651273A (en) | 2020-08-21 | 2020-08-21 | AI intelligent camera tracking method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113585820A (en) * | 2021-07-16 | 2021-11-02 | 北京远舢智能科技有限公司 | Wisdom smoking room |
| CN113610894A (en) * | 2021-08-06 | 2021-11-05 | 上海华测导航技术股份有限公司 | Automatic identification and tracking system and method for AI algorithm in prism of total station |
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2020
- 2020-08-21 CN CN202010852562.4A patent/CN112651273A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113585820A (en) * | 2021-07-16 | 2021-11-02 | 北京远舢智能科技有限公司 | Wisdom smoking room |
| CN113610894A (en) * | 2021-08-06 | 2021-11-05 | 上海华测导航技术股份有限公司 | Automatic identification and tracking system and method for AI algorithm in prism of total station |
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