基于WTA立体匹配算法的人体检测方法研究  

The Algorithm of WTA Stereo Matching Based On The Human Detection Method

作　　者：张大禹[1] 黄灿[1] 

机构地区：[1]中国人民解放军92124部队

出　　处：《电子测试》2013年第3期66-68,共3页Electronic Test

摘　　要：针对目前基于双目视觉的人体检测方法中立体匹配算法计算量过大、实时性不强的问题,本文提出了一种改进的WTA立体匹配检测算法:通过提取图像的边缘点和两幅视图间存在较大差异的点作为特征点,对特征点采用WTA算法进行人体检测。实验结果证明该检测方法整体匹配精度与目前其它基于区域的检测方法相当,但视差边缘的误匹配率较低,且计算速度很好的满足了实时性的要求,是一种有效可行的人体检测方法。In order to resolve the problem of large computational cost and bad real-time performance of current binocular vision stereo matching algorithm, The paper proposes an improved WTA three-dimensional matching algorithm. The large difference exists between the edge points and the two view points of the extracted image as the feature points, and the feature point using the WTA algorithm for stereo matching. The Experimental results show considerable improvement for the algorithm overall match accuracy with other algorithms, parallax edge false match rate is lower, and the calculation speed can fully meet the real-time requirements.

关 键 词：人体检测 立体匹配 算法 双目视觉 WTA 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]