High level feature: Head and body co-trakcing by Kalman filter

Chun Hua Chen, Chung Yuan Lin, Sz Yan Li, Tsung Han Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Tracking multiple targets in complex situation is challenging. The difficulties are tackled multiple targets with occlusions, especially when multiple involved targets are grouped and moving together in appearance. In this paper, we present a multiple targets tracking system for the management of occlusion problem. The proposed algorithm introduces a geometric shape co-tracking strategy. It decomposes targets into geometric shapes located on body and head parts based on reasonable target geometry consideration. Features selected from the decomposed geometric shapes then can be used to track targets through intersections such as occlusion. Projection histogram and ellipsoid shape model are adopted to manage decomposed geometric shapes corresponding to each target. Tracking is done through Kalman filtering process with high efficient and low complexity issue. Experimental results show that the occlusion of grouped targets can be tracked successfully on recent challenging benchmark sequences.

原文???core.languages.en_GB???
主出版物標題2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
頁面725-728
頁數4
DOIs
出版狀態已出版 - 2010
事件2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
持續時間: 26 9月 201029 9月 2010

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

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???event.eventtypes.event.conference???2010 17th IEEE International Conference on Image Processing, ICIP 2010
國家/地區Hong Kong
城市Hong Kong
期間26/09/1029/09/10

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