| Abstract |
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This paper considers a real-time multi-object tracking algorithm for rigid and non-rigid objects. The major components of the tracking object system are extraction of the background image, adaptation of the background image, and identification of the extracted object. In each component, we improved existing methods without increasing the complexity of computation. The system was tested on our fish tank experiment that solves dynamic occlusions problems.
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 Additional Information
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Index Terms- Object tracking, Occlusion detection, Object identification
Citation:
Hui-Huang Hsu, Timothy K. Shih, Chia-Tong Tang, Yi-Chun Liao,
"Real-Time Multiple Tracking Using a Combined Technique,"
aina,
pp. 111-116,
19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers),
2005
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