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Multiple Human Objects Tracking in Crowded Scenes

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3 Author(s)
Yao-Te Tsai ; Dept. of Electr. Eng., Nat. TsingHua Univ., Hsin-Chu ; Huang-Chia Shih ; Chung-Lin Huang

This paper introduces a multiple human objects tracking system to detect and track multiple objects in the crowded scene in which occlusions occur. Our method assign each pixel to different human object based on its relative distance to that object and the corresponding color model. If no occlusion, we easily track each object independently based on each segmented object region and optical flow. With occlusion, we analyze the color distribution of the occlusion group to differentiate each object in the group. By calculating the distances between objects, we can determine whether an object is separated from the occlusion group and to be tracked individually afterwards

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Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:3 )

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