Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/83749
Title: Fusing color and contour in visual tracking
Authors: Trung, P.N.
Kang, W.J.
Ong, S.H. 
Issue Date: 2005
Source: Trung, P.N.,Kang, W.J.,Ong, S.H. (2005). Fusing color and contour in visual tracking. Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 : 9-12. ScholarBank@NUS Repository.
Abstract: A tracking system with color and contour information is more efficient and robust than one with color or contour only. However, it is difficult to use both color and contour information. In this paper, we present an approach using the particle filter to fuse color and contour cues in tracking. First, we combine color and contour information in a Kalman filter to generate the proposal distribution which is one of the key points to improve the performance of particle filter. Subsequently, the particle filter will be applied to give the final tracking result. Our algorithm framework is flexible and it allows us integrate more measurements. Experimental result shows that this approach is an efficient and robust method. Copyright © 2005 by MVA Conference Committee.
Source Title: Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
URI: http://scholarbank.nus.edu.sg/handle/10635/83749
ISBN: 4901122045
Appears in Collections:Staff Publications

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