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The Research on Techniques of Tracking Video Moving Target

Author: ChenYuanXiang
Tutor: LinQing
School: Jiangsu University
Course: Pattern Recognition and Intelligent Systems
Keywords: MeanShift Kalman filter Information measure Shelter Target size
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 362
Quote: 9
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Abstract


In recent decades, with the development of computer technology, the video object tracking systems are widely used in various fields. Video target tracking often becomes very difficult due to the complex changes of the background image and the target size. Video target tracking conducted extensive research and effective tracking methods, but on the subject to date there are still many unresolved issues. Firstly the research background and significance, analysis of current situation and development trend of domestic and foreign research and the research focus and organization of work are briefly described. Due to changes in the target size, and block the obvious target tracking, the focus of this study is how to deal with changes in the size of the target tracking process and target occlusion. Moving object detection is the basis of video object tracking, image pre-processing, moving target detection method and morphological processing. This paper conducted in-depth theoretical analysis of these three aspects of the content, and moving target detection method is experimental. Experimental results show the effectiveness of the method, accurate target model for subsequent tracking. Tracking of moving targets, the first target tracking theory contains traditional target tracking algorithm, prediction algorithms, as well as similarity measure method, and MeanShift tracking algorithm with the Kalman filter for in-depth study. This paper the traditional MeanShift algorithm insufficient Kalman filter correction program, mainly contains the target position prediction and correction program, the target model the timely update program and occlusion handling program. The experiments show that these three programs combined can effectively handle the size change objectives occlusion tracking. For the size change target tracking, this paper MeanShift algorithm and Kalman filter based on multi-dimensional space target metrics and Kalman filter combination, a target size prediction and correction Kalman filter programs. The experiment proved that the program can choose the target size for adaptive tracking. On this basis, the scheme with no dimensional change target occlusion scheme is proposed by combining the occlusion processing program of the size change target. Experiments show that the handling dimensional changes of the program can be a good target occlusion 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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