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Research on Multiple Objects Tracking Based on Detection in Video Sequence

Author: XuTengFei
Tutor: LuGuanMing
School: Nanjing University of Posts and Telecommunications
Course: Signal and Information Processing
Keywords: Target detection Background subtraction Target tracking MeanShift Matching matrix
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 92
Quote: 2
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Abstract


Intelligent video surveillance is one of the research focus in recent years in the field of computer vision , and has broad application prospects in the intelligent traffic supervision , building security and other fields . Target detection and tracking is the key technology of intelligent video surveillance systems , but also the subsequent target recognition , behavior analysis reciprocal basis . This paper studies a single fixed camera case , multi - target detection and tracking technology , research into target detection and target tracking in two parts . Part in target detection , the first analysis of a commonly used method of moving target detection , monitoring environmental and combined with specific frame difference method to establish the background image and continue to selectively update background , and then the use of a simple and efficient background subtraction to detect moving targets , details difference image binarization and morphological filtering to optimize the process . Target tracking section , divided into two single target and multi- target tracking . In tracking a single target , using background weighted color histogram effectively improve the robustness MeanShift tracking algorithm of ; based target detection in multi - target tracking , monitoring the scene target number of complex and volatile state , multiple moving targets tracking algorithm . Tracking segmentation ideas take full advantage of the results of target detection , target state is divided into a single target , the target appears disappear goal , the goal of fusion and the target split five situations and goals match matrix with single target tracking multi-feature joint tracking algorithm effectively improve the tracking accuracy and reduce the complexity of the algorithm . The experimental results show that the algorithm for the ordinary scene of multiple moving objects monitoring , tracking accuracy of the results and basically meet the real-time demand .

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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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