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Method of video multiple target detection and tracking based on multi-agent MAFS

A multi-agent and target tracking technology, which is applied in closed-circuit television systems, image data processing, instruments, etc., can solve the problems of inability to respond actively to abnormal situations in real time, low level of intelligence, waste of human resources and property, etc., and meet the requirements of reducing bandwidth , high bandwidth utilization, and the effect of improving utilization

Inactive Publication Date: 2009-09-09
ZHEJIANG GONGSHANG UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, at present, the intelligence level of my country's video surveillance system is quite low, and the waste of human, property and property is serious. Usually, it is continuously monitored day and night by a dedicated person, and manual analysis is performed after the on-site video recording, and it is impossible to actively respond to abnormal situations in real time, etc.

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  • Method of video multiple target detection and tracking based on multi-agent MAFS
  • Method of video multiple target detection and tracking based on multi-agent MAFS

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Embodiment Construction

[0017] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0018] The video multi-target detection and tracking method based on multi-agent MAFS provides a collaborative protocol model for moving target detection, recognition and tracking, which builds a multi-Agent interactive environment transparent to the underlying communication network, so that each node can be dynamic and self-adaptive The system topology, neighbors and other information can be obtained accurately to realize the information interaction between the target tracking boards.

[0019] The relevant requirements for the collaborative model of moving target detection, recognition and tracking are as follows:

[0020] (1) It can support different underlying networks. In different monitoring situations, the network interconnection mode between sensors and tracking devices may be different due to different constraints such as cost, relia...

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Abstract

The invention provides a method of video multiple target detection and tracking based on multi-agent MAFS by researches on video detection and tracking technology and inter-multi-agent concurrent collaboration technology, comprising 4 parts: pretreatment, object detection, object identification and object tracking; a MAFS coordination and protocol module is added to control the object detection, object identification and object tracking; the MAFS coordination and protocol module is constructed in the following way: 1. constructing a MAFS-NAL(network adaptation layer) suited to different bottom-layer networks, which provides a transparent communication environment for upper-layer application; 2. constructing a MAFS-ACL(Agent coordination layer) of the MAFS coordination and protocol module, which provides interaction and management between Agents, supports task allocation and neighbor discovery operation and realizes loose coupling between Agents and administrators and automatic distribution and looking up mechanism of the Agents; 3. constructing a MAFS-SL (semantic layer) of the MAFS coordination and protocol module, which provides a uniform description based on XML language for video application.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and relates to a video multi-target detection and tracking method based on multi-agent MAFS. Background technique [0002] The video surveillance system has the characteristics of rich video information, easy access, strong anti-interference ability, and its unique spatial and structural characteristics, which cannot be replaced by any other information. It has been widely used in banks, electric power, transportation, storage, construction and military installations, etc. However, at present, the intelligence level of my country's video surveillance system is quite low, and the waste of human resources and property is serious. Usually, it is continuously monitored day and night by dedicated personnel, and manual analysis is performed after the on-site video recording, and it is impossible to actively respond to abnormal situations in real time. The invention applies the video target de...

Claims

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Application Information

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IPC IPC(8): G06T7/20H04N7/18H04L29/06
Inventor 琚春华刘东升周怡郑丽丽王蓓王冰陈沛帅肖亮
Owner ZHEJIANG GONGSHANG UNIVERSITY
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