Multiple object tracking via multi-layer multi-modal framework

Authors:
Hang-Bong Kang;Kihong Chun
Affiliations:
Dept. of Computer Eng., Catholic University of Korea, Puchon, Kyonggi-Do, Korea;Dept. of Computer Eng., Catholic University of Korea, Puchon, Kyonggi-Do, Korea
Venue:
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Year:
2007

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Abstract

In this paper, we propose a new multiple object tracking method via multi-layer multi-modal framework. To handle erroneous merge and labeling problem in multiple object tracking, we use a multi layer representation of dynamic Bayesian network and modified sampling method. For robust visual tracking, our dynamic Bayesian network based tracker fuses multi-modal features such as color and edge orientation histogram. The proposed method was evaluated under several real situations and promising results were obtained.