DocumentCode :
1655736
Title :
Multiple object tracking with energetic particle filtering and GVF-snake
Author :
Chunli, Dong ; Yuning, Dong ; Li, Wang ; Jie, Liu
Author_Institution :
Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing
fYear :
2008
Firstpage :
1075
Lastpage :
1078
Abstract :
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.
Keywords :
filtering theory; target tracking; GVF-snake; energetic particle filtering; gradient vector flow; modified K-means clustering; multiple object tracking; object contour points; Active contours; Adaptive filters; Clustering algorithms; Deformable models; Educational institutions; Filtering algorithms; Information filtering; Information filters; Intelligent transportation systems; Particle tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697315
Filename :
4697315
Link To Document :
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