基于亮度直方图匹配的运动目标检测算法

Moving object detection algorithm based on matching of brightness histogram

提出了一种亮度直方图匹配的运动目标检测算法,采用相邻两帧各子块的直方图匹配程度检测运动目标,通过自适应的最大阈值方差法来选取阈值,在HSV色度空间下检测阴影,用形态学方法进行后处理,得到准确的运动目标;实验结果表明该方法是快速有效的。

This paper introduces a moving object detection algorithm based on the brightness histogram match. It uses the matching degree of the adjacent two frames block＇ s brightness histogram to detect the moving object, selects the threshold through the adaptive biggest threshold variance method, detects shadow in the HSV color space, and gets the exact moving object after pro- cessing by the morphological method. The experiment results show that the presented method is fast and effective.