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The Recognition and Tracking of Moving Objects Based on Characteristic

Author: LiuChuang
Tutor: SongBinHeng
School: Tsinghua University
Course: Mathematics
Keywords: Moving object tracking Shadow Detection Markov random field
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 107
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Abstract


With the continuous development of computer vision technology , the research value of the tracking of moving objects is becoming increasingly apparent. It has a wide range of applications in traffic surveillance, perimeter protection , and intelligent tracking . The object of this article focused on intelligent tracking , specifically , is being taught in the classroom for teachers to track . Issue in moving object detection , we find the pixel movement background updating model , and in accordance with the distance of the moving point to merge, to find the sports block . Shadow detection is also a great significance in the video processing problems . The article also discussed in detail the shadow detection problem , and a shadow detection algorithm is given on the basis of previous work . Markov random field framework to achieve image segmentation by constructing some kind of energy function , is a very traditional and very effective practice . Shadow detection as the image is divided into two parts of the \Markov random field framework , the definition of the energy function is a key issue . This article will give a definition of an energy function , making the problem of shadow detection results improved . Moving object tracking problem , we use the feature matching methods to achieve , so to be able to track to the object of our interest in the case of multiple moving objects simultaneously correct .

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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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