Adaptive mobile camera tracking using color and topological features
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員
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摘要Various features may be used for tracking with a mobile camera, such as color, edge, contour, texture, locomotion, key point and so on. It has been proved that combination of multiple features can increase the robustness of a tracking system. By considering the characteristics of these features, we propose the approach of employing the color and topological properties of the target in tracking. First, the target is segmented into fragments. The color of the target is represented by a Gaussian Mixture Model(GMM), with every fragment corresponding to a Gaussian model. The topology of the target is represented by a tree-liked structure constructed from the spatial information of the fragments. During the tracking procedure, we extract the foreground by comparing the GMM of the target, and represent it using a GMM as well. After that, color and topological properties of the target are integrated in order to determine the association of the target's fragments with the foreground's fragments. The tracking result is the fragments of the foreground, which are associated with the target's fragments. At last, the color and topological properties of the target are updated by the tracking result. Experimental results demonstrate the effectiveness of this algorithm, even though when the locomotion of the target is unpredictable. © 2010 IEEE.
著者Zhou L., Zhang L., Ou Y., Yu S., Wu X.
會議名稱2010 IEEE International Conference on Automation and Logistics, ICAL 2010
會議開始日16.08.2010
會議完結日20.08.2010
會議地點Shatin
會議國家/地區香港
出版年份2010
月份11
日期17
頁次120 - 125
國際標準書號9781424483754
語言英式英語

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