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Real-time tracking system and method of moving target

A real-time tracking and moving target technology, applied in CCTV systems, image data processing, instruments, etc., can solve the problems of low tracking efficiency, low degree of automation, lack of real-time analysis capabilities, etc., to improve accuracy and ensure concurrency , Improve the effect of target tracking efficiency

Inactive Publication Date: 2014-01-22
CHINA SECURITY & FIRE TECH GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In other words, the existing video monitoring and tracking system lacks real-time analysis capabilities, and the degree of automation is not high, and the tracking efficiency is relatively low

Method used

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  • Real-time tracking system and method of moving target
  • Real-time tracking system and method of moving target

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Such as figure 1 Described is the structural representation of a kind of moving object real-time tracking system that the embodiment of the present invention provides, and this system comprises GIS (Geographic Information System, geographic information system) subsystem 10, camera subsystem 20, video monitoring subsystem 30, cloud-based Calculated image recognition subsystem 40 and tracking control subsystem 50, wherein:

[0052] The GIS subsystem 10 is used to provide a list of surrounding monitoring points for tracking the current position of the target;

[0053] The camera subsystem 20 is composed of at least one surveillance camera, which is used to capture video at the surveillance point; wherein, a surveillance point can support multiple video data streams according to different shooting angles.

[0054] The video monitoring subsystem 30 is used to control each road monitoring camera 20 in the surrounding monitoring point list to send the video stream data to the...

Embodiment 2

[0070] Such as Figure 4 Shown is a flow chart of a method for real-time tracking of a moving target provided by an embodiment of the present invention, the method comprising:

[0071] S402. Receive a tracking target manually or automatically positioned;

[0072] Wherein, receiving the tracking target through manual positioning includes: receiving the tracking target manually delineated in the video; for example, accessing the video stream of at least one surveillance camera through the video surveillance system, and manually switching the suspicious video to the main video; and then Find and circle the tracking target from the main video, and manually start the automatic tracking process.

[0073] Receiving the tracking target through automatic positioning includes: receiving a signal that the preset target feature information is successfully matched in the video. For example, based on known information, you can preset the feature data and feature matching strategy of the t...

Embodiment 3

[0086] Such as Figure 5 Shown is a flow chart of a method for calculating a monitoring point where a moving target is provided in a preferred embodiment of the present invention, the method includes:

[0087] S502. The cloud computing platform assigns a cloud computing task to each channel of video;

[0088] Specifically, each video stream involved in the monitoring point list is obtained, a cloud computing task is established for each video stream involved in the monitoring point list, and a cloud computing task is established for each target feature according to the target feature description of the cloud computing task. Subtasks, and allocate sufficient computing resources for each subtask, including CPU, memory, network bandwidth, etc. Among them, a monitoring point can support multiple video data streams according to different shooting angles.

[0089] Each cloud computing task contains an accurate task description, which at least includes task input description and ou...

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PUM

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Abstract

The invention discloses a real-time tracking system and method of a moving target. The real-time tracking system comprises a video monitoring subsystem, a camera subsystem, a GIS (Geographical Information System) subsystem, an image recognition subsystem and a tracking control subsystem, wherein the GIS subsystem is used for providing a peripheral monitoring point list of the current position of a tracking target; the tracking control subsystem is used for extracting a target characteristic information list and a preset characteristic matching strategy; the image recognition subsystem is used for obtaining each path of video stream in the peripheral monitoring point list and carrying out real-time calculation on the monitoring camera of the current position of the tracking target according to the target characteristic information list and the preset characteristic matching strategy; the video monitoring subsystem is used for switching the main video into the monitoring camera of the current position of the tracking target. The real-time tracking system and method disclosed by the invention have the advantages that by integration of a GIS technology, a cloud computing technology and an image recognition technology, the real-time performance and the automation for tracking the moving target are realized, so that the labor cost and the personal errors are reduced to greatest extent and the tracking efficiency is improved.

Description

technical field [0001] The invention relates to the monitoring field, in particular to a system and method for real-time tracking of a moving target. Background technique [0002] At present, in the field of video surveillance, massive amounts of video data are only used for recording purposes. Most of the video surveillance can only be used for post-event data checking, and it fails to play a key role in prevention and tracking before and during the event. The key reason is that there is no real-time analysis of the video data, each surveillance camera is just a video recorder, even if the cameras are widely distributed enough to form a "Skynet", it is just a sluggish network. The bottleneck of real-time tracking mainly lies in the need to perform large-scale and complex intelligent image recognition calculations on the video data of multiple cameras at the same time. General computer systems are not capable of completing such complex massive calculations within a specified...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06T7/20
Inventor 张旭光
Owner CHINA SECURITY & FIRE TECH GRP
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