Tracking a group of highly correlated targets

Authors:
Yuanwei Lao;Yuan F. Zheng
Affiliations:
Dept. of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio;Dept. of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Under the probabilistic framework, we consider the problem of tracking a group of highly correlated targets and propose to embed the correlation into the sampling procedure, where the correlation serves as both a prior information to improve the efficiency and a constraint to prevent trackers from confusion or drifting. Experiments under different settings demonstrate promising results in robustness with linear complexity.