基于时间模板轨迹的手势识别

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-09-20 DOI:10.1109/ICPR.2004.1334687

Caifeng Shan, Yucheng Wei, Xianchao Qiu, T. Tan

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引用次数: 41

摘要

本文提出了一种新的手势识别方法。首先利用均值移位嵌入粒子滤波(MSEPF)对手势的时空轨迹进行跟踪，然后利用时间模板将手势的时空轨迹表示为静态图像。手势识别采用基于时间模板轨迹(TTBT)的统计形状和方向分析的二层分类器。实验结果表明，该算法具有较高的识别率。

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Gesture recognition using temporal template based trajectories

In this paper, a novel approach of hand gesture recognition is proposed. The spatial-temporal trajectory of hand gesture is first tracked by the mean shift embedded particle filter (MSEPF), and then represented in a static image using temporal template. Hand gestures are recognized by a two-layer classifier, which is based on statistical shape and orientation analysis of such temporal template based trajectories (TTBT). Experimental results show that our algorithm has high recognition rate.

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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.

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