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Multiple people tracking using an appearance model based on temporal color

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3 Author(s)
Hyungki Roh ; Center for Artificial Vision Res., Korea Univ., Seoul, South Korea ; Seonghoon Kang ; Seong-Whan Lee

We present a method for the detection and tracking of multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information, i.e., the temporal color, for robust medium-term people tracking. It assures our system continuously tracks people moving in a group with occlusion. Experimental results show that the temporal color is more stable than shape or intensity when used in various cases

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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

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