摘要
提出了一种静止摄像机条件下的运动目标检测和去除阴影的方法。该方法采用以图像亮度和能量大小为判断依据的分块背景重建方法来快速更新背景,并结合背景相减法,网格化连通域检测,形态学滤波等步骤来检测和提取运动目标,同时运用边缘检测获取阴影边缘信息,并结合形态学运算来去除阴影区域,恢复出完整物体目标。实验结果表明,该方法能够有效地检测出运动目标和抑制阴影。
An approach to detect moving object and remove shadow with a static camera is proposed,which uses the block background reconstruction based on average intensity and image energy to update the background,associated with background subtraction,connected component detection as well as morphologic filter to achieve the moving object detection and then the edge information of the shadow which is implemented by edge detection algorithm is used to detect and remove the candidate shadow region.The experimental result indicates the method is effective in detecting moving target and suppressing shadow.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第16期197-199,209,共4页
Computer Engineering and Applications
关键词
背景重建
运动目标检测
阴影抑制
边缘信息
background reconstruction
moving object detection
shadow suppressing
edge information