Multiple Object Tracking with Energetic Particle Filtering and GVF-Snake
A novel adaptive multi-object tracking algorithm with modified particle filtering and GVF-snake is proposed.Through the combination of modified particle filtering and GVF-snake,a novel energetic particle filtering (EPF) object tracking algorithm is proposed;and the multiple objects can be tracked with modified K-means clustering and energetic particle filtering (EPF).The tracking tactic for partially occluded objects is also proposed to overcome the effects such as occlusions in a complex environment.Experiments show that the proposed algorithm can fully utilize the information of mostly non-occluded object contour points in the entire tracking process,and obtain better tracking results even though the tracked objects are occluded for long time.
Dong Chunli Dong Yuning Wang li Liu jie
College of Communication and Information Engineering,Nanjing University of Posts and Telecommunicati College of Communication and Information Engineering,Nanjing University of Posts and Telecommunicati Dept.of Information Engineering,Nanjing College of Transportation Vocational Technology,Nanjing 2111 College of Communication and Information Engineering,Nanjing University of Posts and Telecommunicati
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26（万方平台首次上网日期，不代表论文的发表时间）