Study on color image tracking and detection algorithms based on particle filter

Chuan Wu; Hai-jiang Sun; Dong Yang

doi:10.1117/12.830706

5 August 2009 Study on color image tracking and detection algorithms based on particle filter

Chuan Wu, Hai-jiang Sun, Dong Yang

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73831C (2009) https://doi.org/10.1117/12.830706
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Chuan Wu, Hai-jiang Sun, and Dong Yang "Study on color image tracking and detection algorithms based on particle filter", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73831C (5 August 2009); https://doi.org/10.1117/12.830706

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