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Proceedings Paper

Study on color image tracking and detection algorithms based on particle filter
Author(s): Chuan Wu; Hai-jiang Sun; Dong Yang
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Paper Abstract

In Video tracking, detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field, feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling ,scale and partial occlusion.

Paper Details

Date Published: 5 August 2009
PDF: 5 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73831C (5 August 2009); doi: 10.1117/12.830706
Show Author Affiliations
Chuan Wu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Hai-jiang Sun, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Dong Yang, Changchun Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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