一种基于空间角度序列递归模型的动态手势识别算法

摘要

To address the accuracy and robustness problem of traditional gesture recognition algorithms,by studying the behavior char-acteristics of dynamic hand gesture,a novel algorithm called Trajectory Dots Sequence Recurrence Plot ( TraDotRP) is proposed based on compression distance of recurrence patterns from the perspective of space angle sequence. Firstly,the method of threshold segmen-tation is adopted to obtain the trajectory dots sequence of the hand using Kinect sensor,and then the orientation angle sequence charac-ters are obtained through the track points and the initial points. In order to overcome the problem of unequal length of the trajectories sequence,recurrence plots in spatial domain is established;Finally,CK-1 distance is calculated using the MPEG-1 video compression algorithm for gesture recognition. The experimental results show that the proposed algorithm achieves high robustness in the case of the unequal length of hand trajectory sequence,with 97. 48% recognition accuracy on the data set of 120 dynamic gestures,which already overtaken the current popular hand gesture recognition algorithms.%针对传统动态手势识别方法准确性不高,鲁棒性不强的问题,研究动态手势轨迹运动的行为特征,从手势运动的轨迹点角度出发提出了一种基于递归图压缩的CK-1手势相似性检测算法,称为TraDotRP(Gesture Recognition based on the Trajec-tory Dots Sequence Recurrence Plot).首先利用阈值分割方法获取kinect传感器采集到的手势运动轨迹点序列,计算轨迹点与初始点连线的方向角,然后对手势轨迹进行方向角的特征序列提取;为了克服手势轨迹序列不等长问题,构造基于时空域的手势轨迹序列递归图;再利用MPEG-1压缩算法计算手势递归图之间的CK-1距离,最终完成动态手势识别目标.实验结果表明,该方法可以有效地解决手势轨迹序列不等长问题,在120个动态手势的数据集上准确率高达97.48%,超过目前流行的手势识别算法.