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中文摘要：
提出了一种新颖的基于视角不变的三维手势轨迹识别方法，手势分割采用Kinect传感器获取图像深度信息，通过先定位起始点再定位结束点的方法定位手心点，使手势轨迹点定位有自动无延时的特性。采用改进的质心距离函数表示视角不变的三维轨迹特征，隐马尔可夫模型用于训练和识别有效的轨迹。实验结果表明，该方法具有光照及复杂背景鲁棒性，数字0～9的平均识别率可达97.7%。
英文摘要：
This paper proposes a novel method for view-invariant 3D hand trajectory-based recognition. The image depth information in gesture segmentation is collected by using Kinect sensor. View-invariant 3D hand trajectory is represented by improving centroid distance function. Hidden Markov model is applied to train and recognize hand gesture. Experiment results show that the proposed method is robust under the condition of different illumination and complex background. The illustrated system can successfully recognize spotted hand gestures with a 97.7%recognition rate for Arabic numbers 0 to 9.
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