5 August 2009 Study on color image tracking and detection algorithms based on particle filter
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuan Wu, Chuan Wu, Hai-jiang Sun, Hai-jiang Sun, Dong Yang, 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); doi: 10.1117/12.830706; https://doi.org/10.1117/12.830706


Back to Top