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Human Object Tracking Algorithm with Human Color Structure Descriptor for Video Surveillance Systems

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Human Object Tracking Algorithm with Human Color Structure Descriptor for Video Surveillance Systems
Segmentation, tracking, and description extraction are important operations in smart camera surveillance systems. In this paper, a robust segmentation-and-descriptor based tracking algorithm is proposed. Segmentation is applied first, and description for each connected component is extracted for object classification to generate the video object masks. It can do segmentation, tracking, and description extraction with a single algorithm without redundant computation. In addition, a new descriptor for human objects, Human Color Structure Descriptor (HCSD), is also proposed for this algorithm. Experimental results show that the proposed algorithm can provide precise video object masks and trajectories. It is also shown that the proposed descriptor, HCSD, can achieve better performance than Scalable Color Descriptor and Color Structure Descriptor of MPEG-7 for human objects.
Shao-Yi Chien, Wei-Kai Chan, Der-Chun Cherng, Jing
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors Shao-Yi Chien, Wei-Kai Chan, Der-Chun Cherng, Jing-Ying Chang
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