基于光流的人体运动实时检测方法

Real-Time Detection Method of Human Motion Based on Optical Flow

  • 摘要: 针对目前广泛使用的光流法计算耗时严重问题,提出了基于差分图像绝对值和(SAD)与光流法相结合的人体运动检测方法. 通过计算SAD检测出运动区域,在已确定的运动区域内进行Horn-Schunck光流场计算,准确地计算出人体的运动信息. 在后续处理中,应用形态学的闭运算和连通性分析,较完整地分割出人体运动目标. 实验结果表明,该方法有效地提高了系统的计算速度,能够实时准确地对人体运动进行检测.

     

    Abstract: Considering the problem that the traditional optical flow algorithm is a time-consuming computation. An integrated method of detecting human motion is proposed based on the sum of absolute differences (SAD) and optical flow. The motion sub-region is detected by the computation of SAD. The optical flow vectors of the object can be obtained by computing optical flow on the motion sub-region. In the post processing, closing and connected components analysis are used for the segmentation of human object. Experimental results showed the effectiveness and robustness of the proposed method.

     

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