基于亮度直方图匹配的运动目标检测算法

计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (12): 148-150.

基于亮度直方图匹配的运动目标检测算法

薛丽霞1，刘煌1，王佐成2

1.重庆邮电大学计算机科学与技术学院，重庆 400065
2.重庆邮电大学软件学院，重庆 400065

出版日期:2013-06-14 发布日期:2013-06-14

Moving object detection algorithm based on matching of brightness histogram

XUE Lixia1, LIU Huang1, WANG Zuocheng2

1.College of Computer Science & Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
2.Software College, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Online:2013-06-14 Published:2013-06-14

摘要/Abstract

摘要： 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。

关键词: 直方图匹配, 最大阈值方差法, HSV色度空间, 形态学方法

Abstract: 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 processing by the morphological method. The experiment results show that the presented method is fast and effective.

Key words: histogram matching, biggest threshold variance, HSV color space, mathematical morphological method

薛丽霞1，刘煌1，王佐成2. 基于亮度直方图匹配的运动目标检测算法[J]. 计算机工程与应用, 2013, 49(12): 148-150.

XUE Lixia1, LIU Huang1, WANG Zuocheng2. Moving object detection algorithm based on matching of brightness histogram[J]. Computer Engineering and Applications, 2013, 49(12): 148-150.