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Multi-target tracking method and system based on intelligent video analysis platform

A technology of intelligent video analysis and multi-target tracking, applied in the field of multi-target tracking method and its system, to achieve the effect of continuous tracking

Active Publication Date: 2018-09-11
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] For the second multi-target tracking method, the AdaBoost algorithm needs to learn a large number of samples in advance to ensure the accuracy of detection. Therefore, it is not a small challenge for the urban security system with high real-time requirements and the maintenance of the later system.

Method used

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  • Multi-target tracking method and system based on intelligent video analysis platform
  • Multi-target tracking method and system based on intelligent video analysis platform
  • Multi-target tracking method and system based on intelligent video analysis platform

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Embodiment Construction

[0069] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention .

[0070] An embodiment of the present invention provides a multi-target tracking system based on an intelligent video analysis platform, such as figure 1 As shown, it includes: task access unit 200, algorithm management unit 300 and at least one multi-target tracking algorithm unit 500, wherein:

[0071] A task access unit 200, configured to obtain a multi-target tracking task, and perform load balancing on the at least one multi-target tracking algorithm unit 500, and distribute or split the multi-target tracking task and issue it;

[0072] An algorithm management unit 300, configured to manage the at least one multi-target tracking algorithm unit 5...

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Abstract

Disclosed in the present invention are a multi-target tracking method onthe basis of an intelligent video analysis platform and a system thereof, the system comprising: a task access unit, for obtaining multi-target tracking tasks, performing load balancing on the at least one multi-target tracking algorithm unit, and allocating and sending the multi-target tracking tasks; an algorithm management unit, for managing the at least one multi-target tracking algorithm unit according to the input of the task access unit and the obtained original video streams of different nodes; and the multi-target tracking algorithm unit(s), for performing multi-target tracking processing on the corresponding video streams according to the allocated multi-target tracking tasks. Simultaneously, further disclosed in the present invention are a mobile terminal and a computer storage medium.

Description

technical field [0001] The present invention relates to the technical field of video surveillance, in particular, to a multi-target tracking method and system based on an intelligent video analysis platform. Background technique [0002] Currently, Safe City has become a hot topic of concern. How to make the common people live more at ease, how to weave a perfect security network to ensure the safety of the city, intelligent and advanced urban monitoring system is the most effective method. However, in the traditional video surveillance field, manpower is mainly used, for example, the method of video fallback is used to search for key information in emergencies, which is extremely inefficient and will miss the golden period for dealing with emergencies. Therefore, there is an urgent need to adopt a means to improve this situation, for this reason video intelligent analysis based on multi-target tracking has emerged as the times require. The benefits it brings are also revo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18G06T7/20
CPCG06T7/20G06T2207/30232
Inventor 熊培杰曾刚熊壮
Owner ZTE CORP
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