Target Tracking Based on Particle Filter with Multi-path Particles
Visual tracking is a key issue for autonomous navigation, intelligent monitoring system and so on. While a Particle Filter for tracking is designed, the target in image may be out of range, and the tracked target will be lost since the target image size keeps changing. A method for tracking a mobile target with visual image, Particle Filter with multi-path particles (PFWMP), is proposed to solve the above problem in this paper. Here, the method is based on the wavelet transform incorporated in traditional Particle Filter, and particles are made to move in original image and the image processed by wavelet transform. The results show that the improved approach using multiple particles can enhance the robustness of tracking algorithm and improve tracking accuracy.
Particle Filter Target Tracking Wavelet Transform Multi-path Particles
Qiyuan Sun Liusheng Li Zuoliang Chao
Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin, China Scho School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China
国际会议
合肥
英文
3306-3310
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）