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Research on Technology and Application of Tracking Moving Target Based on Vision

Author: HanXinYu
Tutor: ZhuQiDan
School: Harbin Engineering University
Course: Control Theory and Control Engineering
Keywords: tracking difference matching color
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 428
Quote: 6
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Abstract


Automatic tracking of moving target is an active problem in computer vision and it is the key technology of intelligent automatic weapon and intelligent robots.It has wide application in many fields such as autonomous vehicle guidance,biology and so on.In this paper,three tracking methods are researched with the help of many experiments:(l)moving-based method;(2)correlation-based method;(3)color-based method.Moving-based method is based on the motorial information of the objects in image sequence.Difference and optical flow is researched.Difference is simple, convenient to operate and good real time,but can only be used in the case that the background is stable and has no great changes.Optical flow method can used in the variational background.But its arithmetic is complicated and the iterative process is slow. A new arithmetic which has no iterative process is presented in the paper.Correlation-based method,also called template-matching method,is explored.First,ordinary matching without any improved methods is researched.It is found that this method cannot be applied to tracking moving target at all due to huge time consumption.Therefore,SSDA matching is researched,and some improved measures are brought forward.Because the templates of the matching method is changeless,it has poor self adaptability to the changes of moving target.Accordingly,an improved method integrated with Kalman Filter and Maximum Close Distance is introduced to prediction and update the template.Color-based method uses the color which is the important information source when human apperceived the environment.First,nine different color spaces are

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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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