School of Information Science and Engineering, Shandong Provincial Key Laboratory of Network based Intelligent Computing. University of Jinan

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Abstract—A novel human hand tracking algorithm using hand occlusion information based on a single-view camera is put forward. Firstly, the moving hand is tracked by the algorithm of edge tracking. Then the hand features of boundary are used to get the maximum inscribed circle of the palm. According to the circle, the hand is divided into two parts: the palm and fingers. Finally, using the proportion of the palm and fingers in the whole hand to guide particle filter tracking. The experiments show that this algorithm can correctly predict the position of the occluded parts, and has better tracking accuracy than some of the previous work.

Index Terms—Edge tracing, maximum inscribed circle, palm, self-occlusion, particle filter.

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Cite: Xianhui Song, Zhiquan Feng, Bo Yang, Wei Gai, Yan Lin, "Research on Grasping Hand Gesture Based on Analysis of Occluded Information," Journal of Computers vol. 7, no. 3, pp. 768-773, 2012.