Study particle filter tracking and detection algorithms based on DSP signal processors
Abstract-In Video tracking, detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field, feature histogram of luminance is as observe vector and used posterior estimate. In this paper, the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling, scale and partial occlusion.
Yang Dong Wu Chuan
Institute of Computer Science&Engineering,Changchun University of Techology,Changchun 130012 Image Processing Laboratory, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, 1
国际会议
长春
英文
99-102
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）