Human object tracking algorithm with Human Color Structure Descriptor for video surveillance systems
Journal
2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Journal Volume
2006
Pages
2097-2100
Date Issued
2006
Author(s)
Abstract
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
Type
conference paper