Realtime hand detection system using convex shape detector in sequential depth images

Chung-Li Tai; Chia-Chang Li; Duan-Li Liao

doi:10.1117/12.2052889

24 December 2013 Realtime hand detection system using convex shape detector in sequential depth images

Chung-Li Tai, Chia-Chang Li, Duan-Li Liao

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90671T (2013) https://doi.org/10.1117/12.2052889
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

In this paper, a real-time hand detection and tracking system is proposed. A calibrated stereo vision system is used to obtain disparity images and real world coordinates are available by geometry transformation. Unlike other pixel-based shape detector that edge information is necessary, the proposed convex shape detector, which is based on real world coordinates, is applied directly in depth images to detect hands regardless of distance. Around waving gesture recognition and simple hand tracking are also implemented in this work. The acceptable accuracy of the proposed system is examined in verification process. Experimental results of hand detection and tracking prove the robustness and the feasibility of the proposed method.

Citation Download Citation

Chung-Li Tai, Chia-Chang Li, and Duan-Li Liao "Realtime hand detection system using convex shape detector in sequential depth images", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90671T (24 December 2013); https://doi.org/10.1117/12.2052889

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