人体运动检测中的标志点识别算法

Algorithm for Recognizing the Markers in Human Motion Detection

针对人体运动的特点提出在人体运动检测中的标志点识别的算法。算法主要包括以下三个方面:(1)采用改进的模板匹配方法以改善匹配峰值的尖锐度;(2 )采用目标图像与模板的互相关系数加权平均的方法使识别的分辨率达到亚像素的水平;(3)根据人体运动的连续性的特点来预测和检验标志点的运动、克服标志点遮挡问题。实验结果证明,采用上述的标志点识别算法能够达到比较高的识别精度和速度。

An algorithm for recognizing the markers in human motion detection is proposed in this paper. It includes three parts as follows： （1）an improved template matching method is used to acuminate the peak of the matching result. （2）the weighted average of the cross correlation between target image and template is given in order to make the resolution increase to sub-pixel level. （3）forecasting the motion of marker and overcoming the hiding of marker are realized basing on the continuity of human motion. The result of experiments shows that the algorithm can recognize the positions of the markers at a relatively higher accuracy and speed. A gait analysis system based on this algorithm has come into use.