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Research on Object Detection and Tracking in Intelligent Surveillance System

Author: HaoFei
Tutor: MiaoZhenJiang
School: Beijing Jiaotong University
Course: Signal and Information Processing
Keywords: Intelligent Video Surveillance Target Detection Feature extraction Multi-target tracking Kalman filter Particle filter
CLC: TP277
Type: Master's thesis
Year: 2009
Downloads: 526
Quote: 8
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Abstract


Intelligent monitoring system is a hot issue in the field of computer vision , has important practical value and broad prospects for development . Intelligent monitoring technology, including video image sequence moving target detection , tracking, target classification and behavior understanding is a challenging difficulties . In this article, the main part of the multi- target detection and tracking in intelligent video surveillance system application context , the target detection , feature selection , target tracking, occlusion handling and other related issues . Target detection , improved frame difference , frame difference results Renewal Movement History image target detection and extraction . Target feature selection , this paper analyzes the target geometry and appearance characteristics , the introduction of color histogram feature and Bhattacharyya distance measure in order to improve the robustness of detection and tracking . In target tracking , we study the multi-target tracking algorithm based on Kalman filtering and multi-target tracking algorithm based on particle filter . Kalman filter algorithm to improve the matching cost function , the traceability matrix and the mother of goals and sub-goals \Resampling particles in the particle filter algorithm to solve the degradation problem , while using the color histogram feature and Bhattacharyya distance as a measure , so that the system can cope with a certain amount of shelter . Experimental results demonstrate the effectiveness of these two algorithms . Finally , the paper design to achieve a detection tracking and monitoring system , the algorithms discussed and verify its feasibility and effectiveness .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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