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Multi-camera target tracking algorithm

Author: ChenYong
Tutor: ZhouYue
School: Shanghai Jiaotong University
Course: Pattern Recognition and Intelligent Systems
Keywords: Video Surveillance Shadow detection Tracking Multi-Camera Monitor Target Handover
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 176
Quote: 3
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Abstract


Intelligent video surveillance is the use of computer vision technology for cameras capture video data analysis, understanding , and as a basis for the video surveillance system control. Since a single vision cameras are limited domain , monitoring a wide range of scenes need to use multiple camera systems . Intelligent video tracking system using multiple cameras help solve the occlusion problem , chaotic scene , ambient light mutation of the moving target tracking and other issues. And based on multi- camera video track in the advanced human-computer interaction , video conferencing , medical diagnostics, and content-based storage and retrieval has broad application prospects and potential economic value. This video surveillance application background , the main research goals based on multi-camera tracking method . Research mainly has motion detection, single camera under the target adaptive tracking , multi- target mapping between cameras and multi-camera collaborative and other aspects . Main work is as follows: 1, a detailed analysis of the multi-camera tracking of key technologies and related algorithms. The current major technical difficulties and the algorithm to do a comprehensive summary and analysis. Studied the video foreground moving object extraction principles and algorithms and video foreground target shadow detection and removal algorithms. 2 , in order to solve the target tracking process in adaptive tracking window change issues , we propose a monitoring scenario target adaptive tracking algorithm, the algorithm makes full use based on Mean-Shift tracking algorithm based target detection and tracking algorithm advantages . The moving target detection information , Kalman filtering prediction performance and fast convergence of Mean-Shift tracking performance combine to solve adaptive robust tracking and signature update problems, make the tracking process more robust . 3 , the target of different cameras and camera matching mapping synergistic approach is proposed based on the size and location of the target multi-camera matching and coordination algorithms. For a multi-camera set up in the presence of the small field of view overlap case , the relay proposed to use the camera coordinate mapping provisional calculation. And made a small field of view overlap in the case of multi-camera collaborative strategy . Achieve its objectives in an exact match between the camera and continuous tracking.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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