Paper Info
Title
Adaptive Evolutionary Particle Filter Based Object Tracking with Occlusion Handling
Abstract
Fast and robust object tracking with occlusion handling is a challenging task. Particle filtering has proven very successful for non-linear and non-Gaussian estimation problems. The paper presents a method for occlusion detection for object tracking with adaptive evolutionary particle filter. Firstly, object occlusion is detected with normalization factor. Secondly, adaptive transition function is employed to recovery from occlusion. Thirdly, an adaptive evolutionary method is employed to handle particle degeneracy problem. Experimental results show the presented method can track object fast and accurate in occlusded situation.
Year
DOI
Venue
2009
10.1109/ICNC.2009.623
ICNC (5)
Keywords
Field
DocType
adaptive evolutionary particle filter,object tracking,occlusion detection,object occlusion,challenging task,occlusion handling,robust object tracking,particle degeneracy problem,adaptive evolutionary method,adaptive transition function,normalization factor,particle filter,particle filters,evolutionary computation,data mining,histograms,color
Histogram,Object detection,Computer vision,Normalization (statistics),Occlusion,Pattern recognition,Computer science,Particle filter,Evolutionary computation,Degeneracy (mathematics),Video tracking,Artificial intelligence
Conference
Citations 
PageRank 
References 
2
0.41
5
Authors
2
Name
Order
Citations
PageRank
duan1507.45
Zixing Cai2152566.96