대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2008년도 하계종합학술대회
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- Pages.915-916
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- 2008
멀티 카메라 연동을 위한 군집화 기반의 객체 특징 정합
Clustering based object feature matching for multi-camera system
- Kim, Hyun-Soo (Dept. of Electronic Engineering, Sogang University) ;
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Kim, Gyeong-Hwan
(Dept. of Electronic Engineering, Sogang University)
- 발행 : 2008.06.18
초록
We propose a clustering based object feature matching for identification of same object in multi-camera system. The method is focused on ease to system initialization and extension. Clustering is used to estimate parameters of Gaussian mixture models of objects. A similarity measure between models are determined by Kullback-Leibler divergence. This method can be applied to occlusion problem in tracking.
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