CN112182300A - Automatic tracking device and method - Google Patents
Automatic tracking device and method Download PDFInfo
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- CN112182300A CN112182300A CN202011045508.5A CN202011045508A CN112182300A CN 112182300 A CN112182300 A CN 112182300A CN 202011045508 A CN202011045508 A CN 202011045508A CN 112182300 A CN112182300 A CN 112182300A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/787—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
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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
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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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
Abstract
The invention is suitable for the technical field of tracking, and provides an automatic tracking device and a method, wherein the automatic tracking device comprises: the video monitoring platform is used for sampling videos and displaying video pictures; the information storage platform is used for storing information; the user input platform is used for inputting information; and the information collection processing platform is used for controlling the signal selection and display of the video monitoring platform, receiving and identifying the instruction of the user input platform, analyzing the signal, reading and storing the information storage platform and establishing a traceable azimuth table. The method avoids the defect that multi-screen display is not beneficial to observing the detailed action of the moving target, also avoids the time delay problem and manual operation of manual switching, efficiently and non-manually realizes dynamic seamless monitoring of the moving target and automatic switching of the monitoring pictures, and has the capability of learning potential tracks without depending on human operation. The invention has the advantages that: seamless observation is realized, the workload is reduced, and the tracking efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of tracking, and particularly relates to an automatic tracking device and method.
Background
Video monitoring is widely applied in modern society, and when a plurality of cameras are used in an area to analyze a moving target, switching is often performed between different camera lens pictures. The current mainstream method is to combine multi-screen coexistence with manual switching of camera lenses. The coexistence of multiple screens can cause the single screen to be too small, thus being not beneficial to observing the details of the screen; the manual switching of the camera is not intelligent enough, cannot automatically track, needs manpower to search the next displayed picture, and needs to manually switch the camera lens picture. Because finding a picture and manually switching may cause occupation for a period of time, manual rollback is often required to supplement the missing period of time.
Disclosure of Invention
The embodiment of the invention aims to provide an automatic tracking device, aiming at solving the problem that automatic tracking cannot be realized.
The embodiment of the present invention is implemented as follows, and an automatic tracking apparatus includes:
the video monitoring platform is used for sampling videos and displaying video pictures;
the information storage platform is used for storing information;
the user input platform is used for inputting information;
and the information collection processing platform is used for controlling the signal selection and display of the video monitoring platform, receiving and identifying the instruction of the user input platform, analyzing the signal, reading and storing the information storage platform and establishing a traceable azimuth table.
In the embodiment of the invention, when the video monitoring platform is installed, the physical position of the video recording piece of the video monitoring platform in the target area is recorded on the map of the target area, and the direction corresponding relation between the position of each video recording piece and the map is fixed and recorded. The information is input into the information collection and processing platform through the user input platform, and is converted into machine language through the information collection and processing platform and then stored in the information storage platform.
The information collecting and processing platform analyzes the target area and the position recorded by the video monitoring platform, obtains the adjacent relation and the relative position direction of the coordinates of the video recording piece, generates an azimuth table and stores the azimuth table in the information storage platform.
A user simulates the moving track of a single moving target on the information collection processing platform through the user input platform, and the information collection processing platform perfects the azimuth table of the discrete non-adjacent video input piece according to the track and updates the azimuth table stored in the information storage platform. A user inputs information through a user input platform and selects a moving target in a video display picture of a video monitoring platform;
the information collection processing platform identifies the characteristics of the moving target and dynamically identifies the real-time motion track of the moving target;
the information collection processing platform reads the azimuth table in the information storage platform, and analyzes and obtains the next sub-area where the moving target appears by combining the real-time motion track of the moving target, and finds the video recording piece B corresponding to the sub-area;
when the moving target disappears from the current video recording piece picture, the information collection and processing platform informs the video monitoring platform to switch the display picture to the picture of the video recording piece B;
the information collection processing platform monitors and extracts the picture characteristics of the video recording piece B: if the moving target cannot be found on the picture of the video recording piece B after the time T (manually specified, such as 5 seconds), polling the pictures of the video recording pieces adjacent to the physical coordinates to find the picture of the video recording piece C where the moving target is located, switching the display picture to the picture of the video recording piece C, and then continuing the steps; if a moving object is identified on the screen of the video entry B within the time T, the above steps are continued. Through the steps, automatic and seamless switching of video monitoring pictures is achieved. And the ending condition of the task is that a termination instruction is manually sent to the information collection and processing platform through the user input platform.
Another object of an embodiment of the present invention is to provide an automatic tracking method, where the automatic tracking method includes:
establishing an azimuth table;
selecting a target through a user input platform;
the information collection processing platform identifies the target and dynamically identifies the real-time motion track of the target;
and reading the azimuth table and analyzing the display position of the conversion target. The method avoids the defect that multi-screen display is not beneficial to observing the detailed action of the moving target, also avoids the time delay problem and manual operation of manual switching, efficiently and non-manually realizes dynamic seamless monitoring of the moving target and automatic switching of the monitoring pictures, and has the capability of learning potential tracks without depending on human operation. The invention has the advantages that: seamless observation is realized, the workload is reduced, and the tracking efficiency is improved.
Drawings
Fig. 1 is a block diagram of an automatic tracking apparatus according to an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
As shown in fig. 1, a block diagram of an automatic tracking apparatus provided in an embodiment of the present invention includes:
the video monitoring platform is used for sampling videos and displaying video pictures;
the information storage platform is used for storing information;
the user input platform is used for inputting information;
and the information collection processing platform is used for controlling the signal selection and display of the video monitoring platform, receiving and identifying the instruction of the user input platform, analyzing the signal, reading and storing the information storage platform and establishing a traceable azimuth table.
In the embodiment of the invention, when the video monitoring platform is installed, the physical position of the video recording piece of the video monitoring platform in the target area is recorded on the map of the target area, and the direction corresponding relation between the position of each video recording piece and the map is fixed and recorded. The information is input into the information collection and processing platform through the user input platform, and is converted into machine language through the information collection and processing platform and then stored in the information storage platform.
The information collecting and processing platform analyzes the target area and the position recorded by the video monitoring platform, obtains the adjacent relation and the relative position direction of the coordinates of the video recording piece, generates an azimuth table and stores the azimuth table in the information storage platform.
A user simulates the moving track of a single moving target on the information collection processing platform through the user input platform, and the information collection processing platform perfects the azimuth table of the discrete non-adjacent video input piece according to the track and updates the azimuth table stored in the information storage platform. A user inputs information through a user input platform and selects a moving target in a video display picture of a video monitoring platform;
the information collection processing platform identifies the characteristics of the moving target and dynamically identifies the real-time motion track of the moving target;
the information collection processing platform reads the azimuth table in the information storage platform, and analyzes and obtains the next sub-area where the moving target appears by combining the real-time motion track of the moving target, and finds the video recording piece B corresponding to the sub-area;
when the moving target disappears from the current video recording piece picture, the information collection and processing platform informs the video monitoring platform to switch the display picture to the picture of the video recording piece B;
the information collection processing platform monitors and extracts the picture characteristics of the video recording piece B: if the moving target cannot be found on the picture of the video recording piece B after the time T (manually specified, such as 5 seconds), polling the pictures of the video recording pieces adjacent to the physical coordinates to find the picture of the video recording piece C where the moving target is located, switching the display picture to the picture of the video recording piece C, and then continuing the steps; if a moving object is identified on the screen of the video entry B within the time T, the above steps are continued. Through the steps, automatic and seamless switching of video monitoring pictures is achieved. And the ending condition of the task is that a termination instruction is manually sent to the information collection and processing platform through the user input platform.
As a preferred embodiment of the present invention, the video monitoring platform includes a camera, an information transmission component and a video display component, the camera is installed at the physical position of the target area and recorded on the map of the target area, and the corresponding relation between the position of each camera and the direction of the map is recorded. The camera carries out video acquisition on a target area, the information transmission piece transmits video information, and the video display piece displays the acquired video. The information transfer member may be an electrical cable, an optical cable, or wirelessly.
As a preferred embodiment of the invention, the azimuth table is established by inputting video position information and corresponding positions of the target area through the video monitoring platform and establishing the azimuth through the video position and the azimuth direction.
As a preferred embodiment of the invention, the information is input by a user input platform, the moving track of a single moving target is simulated on an information collection processing platform, and the information collection processing platform perfects the input of a video position network point updating azimuth table of a discrete non-adjacent video monitoring platform according to the track and updates the video position network point updating azimuth table stored in an information storage platform. Therefore, the information can be updated in real time, and the target can be tracked more accurately.
An embodiment of the present invention further provides an automatic tracking method, including:
establishing an azimuth table;
selecting a target through a user input platform;
the information collection processing platform identifies the target and dynamically identifies the real-time motion track of the target;
and reading the azimuth table and analyzing the display position of the conversion target.
In the embodiment of the invention, a user inputs information through a user input platform and selects a moving target in a display picture of a video monitoring platform;
the information collection processing platform identifies the characteristics of the moving target and dynamically identifies the real-time motion track of the moving target;
the information collection processing platform reads an azimuth table in the user input platform, analyzes and obtains a next subregion where the moving target appears by combining the real-time motion track of the moving target, and finds a camera B corresponding to the subregion;
when the moving target disappears from the current camera picture, the information collection processing platform informs the video monitoring platform to switch the display picture to the picture of the camera B;
as a preferred embodiment of the invention, the information collection processing platform identifies the target by one or more combinations of facial features, biological features, appearance color features, motion posture features and accompanying object features. A camera in the video monitoring platform shoots a target, scans the facial features of the target, identifies the facial features of the target, converts the facial features of the target into data to be stored, identifies the target through the next sub-area target, and compares the data to determine the next sub-area target. The biological characteristics comprise body type, fat and thin, height and the like, the appearance color characteristics comprise hair color, clothes color and the like, the motion posture characteristics comprise walking posture, back bending and the like, and the accompanying characteristics comprise bags, crutches, wheelchairs and the like.
As a preferred embodiment of the invention, the information collection and processing platform judges the recognition target and converts the video position network points recorded by the video monitoring platform; when a target subregion is identified, when an identified target does not appear, converting a video position website recorded by the video monitoring platform, and if a moving target cannot be found in a camera B picture, polling camera pictures adjacent to each physical coordinate to find a camera C picture where the moving target is located, and switching a display picture to the picture of the camera C, and so on. Probability analysis can be carried out on the next sub-area according to the azimuth table, and when the video monitoring platform inputs video position network points for conversion, queuing is carried out according to the probability sequence, and replacement is carried out.
In a preferred embodiment of the present invention, the information collection and processing platform determines the recognition target, the determination time is set manually, the set time is 5 seconds, a default time can be set, and when the user needs to reset, the user can manually input the determination time through the user input platform. And when the judgment time is exceeded, the video monitoring platform records the video position network points for conversion.
The invention provides an automatic tracking device in the above embodiment, and provides an automatic tracking method based on the automatic tracking device, the user simulates the moving track of a single moving target on an information collecting and processing platform through a user input platform, the information collecting and processing platform perfects the azimuth table of a discrete non-adjacent video input piece according to the track, the user inputs information through the user input platform, and the moving target is selected in the video display picture of a video monitoring platform; the information collection processing platform identifies the characteristics of the moving target and dynamically identifies the real-time motion track of the moving target; the information collection processing platform reads the azimuth table in the information storage platform, and analyzes and obtains the next sub-area where the moving target appears by combining the real-time motion track of the moving target, and finds the video recording piece B corresponding to the sub-area; when the moving target disappears from the current video recording piece picture, the information collection and processing platform informs the video monitoring platform to switch the display picture to the picture of the video recording piece B; through automatic scanning and recognition, manual switching is avoided, tracking gaps are avoided, seamless observation is achieved, workload is reduced, and tracking efficiency is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. An automatic tracking apparatus, characterized in that the automatic tracking apparatus comprises:
the video monitoring platform is used for sampling videos and displaying video pictures;
the information storage platform is used for storing information;
the user input platform is used for inputting information;
and the information collection processing platform is used for controlling the signal selection and display of the video monitoring platform, receiving and identifying the instruction of the user input platform, analyzing the signal, reading and storing the information storage platform and establishing a traceable azimuth table.
2. The automatic tracking device of claim 1, wherein the video monitoring platform comprises a camera, an information transmission component and a video display component, the camera is installed at a physical position of the target area and recorded on a map of the target area, the camera collects video of the target area, the information transmission component transmits video information, and the video display component displays the collected video.
3. The automatic tracking device according to claim 1, wherein the azimuth table is established by inputting video position information and corresponding positions of the target area through the video monitoring platform and establishing relative position directions through the video position spots.
4. The automatic tracking device as claimed in claim 3, wherein the information input by the user input platform simulates the moving track of a single moving object on the information collecting and processing platform, and the information collecting and processing platform perfects the input of the video position dot updating azimuth table by the discrete non-adjacent video monitoring platform according to the track and updates the video position dot updating azimuth table stored in the information storage platform.
5. An automatic tracking method applied to an automatic tracking apparatus according to any one of claims 1 to 4, the automatic tracking method comprising:
establishing an azimuth table;
selecting a target through a user input platform;
the information collection processing platform identifies the target and dynamically identifies the real-time motion track of the target;
and reading the azimuth table and analyzing the display position of the conversion target.
6. The automatic tracking method according to claim 5, wherein the information collection processing platform identifies through one or more combinations of facial features, biological features, appearance color features, motion posture features and accompanying object features.
7. The automatic tracking method according to claim 5, wherein the information collecting and processing platform judges the recognition target and converts the video position network points recorded by the video monitoring platform.
8. The automatic tracking method according to claim 5, wherein the information collection processing platform determines the recognition target, and the determination time is manually set.
9. An automatic tracking method according to claim 8, characterized in that said set time is 5 seconds.
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| CN202011045508.5A CN112182300A (en) | 2020-09-28 | 2020-09-28 | Automatic tracking device and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113534962A (en) * | 2021-09-15 | 2021-10-22 | 北京小鸟科技股份有限公司 | Method, system and electronic device based on intelligent control of audio and video device |
| CN116366913A (en) * | 2023-05-19 | 2023-06-30 | 杭州华橙软件技术有限公司 | Video playing method, computer equipment and storage medium |
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