用于人机交互的手势识别

Proceedings of the Second International Workshop on Robot Motion and Control. RoMoCo'01 (IEEE Cat. No.01EX535) Pub Date : 2001-10-18 DOI:10.1109/ROMOCO.2001.973437

T. Kapuscinski, M. Wysocki

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引用次数: 37

摘要

解决手势识别的一些基本问题。讨论了构建基于手势视觉的界面的三个重要步骤。第一步是通过检测皮肤颜色区域进行手部定位。描述并比较了基于二维颜色直方图的代表性方法。下一步是手的形状(姿势)识别。提出了一种利用形态学命中不命中操作的方法。最后，介绍了隐马尔可夫模型在动态手势识别中的应用。本文描述了一个实时使用所述方法的实验系统，并给出了识别结果。

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Hand gesture recognition for man-machine interaction

Addresses some basic problems of hand gesture recognition. Three steps important in building gestural vision-based interfaces are discussed. The first step is the hand location through detection of skin colored regions. Representative methods based on 2D color histograms are described and compared. The next step is the hand shape (posture) recognition. An approach that uses the morphological hit-miss operation is presented. Finally, application of hidden Markov models in recognition of dynamic gestures is explained. An experimental system that uses the discussed methods in real time is described and recognition results are presented.

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Proceedings of the Second International Workshop on Robot Motion and Control. RoMoCo'01 (IEEE Cat. No.01EX535)

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