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一种基于背景减法的运动目标检测算法
引用本文:李文斌,周晓敏,王长松.一种基于背景减法的运动目标检测算法[J].北京科技大学学报,2008,30(2):212-216.
作者姓名:李文斌  周晓敏  王长松
作者单位:北京科技大学机械工程学院,北京,100083
摘    要:针对静止摄像机下的运动目标检测问题,提出了一种基于背景减法的运动目标检测算法.首先利用无拘束学习方式迅速建立多个可靠的RGB颜色背景模型,然后在运动目标分割过程中,及时地根据场景变化对背景模型进行更新,同时利用色度信息及局部交叉熵信息去除阴影,得到较为精确的运动目标.在对用普通USB摄像头获取的视频序列实验中,该算法显示了良好的性能.

关 键 词:运动目标检测  背景减法  阴影消除  交叉熵
收稿时间:2006-11-11
修稿时间:2006-12-19

Detection algorithm of moving objects based on background subtraction method
LI Wenbin,ZHOU Xiaomin,WANG Changsong.Detection algorithm of moving objects based on background subtraction method[J].Journal of University of Science and Technology Beijing,2008,30(2):212-216.
Authors:LI Wenbin  ZHOU Xiaomin  WANG Changsong
Abstract:A detection algorithm of moving objects based on background subtraction method was proposed for a video surveillance system with static camera.Some multi-background models dealing with RGB colors were built during the leaning process without any restraint.The modes can be updated in good time with the change of background during moving object segmentation.Chromatic difference and cross-entropy were employed to eliminate shadows and made the moving object areas more accurate.This algorithm demonstrates better performance in the experiments with video sequences captured by a general USB camera.
Keywords:moving object detection  background subtraction  shadow elimination  cross-entropy
本文献已被 CNKI 维普 万方数据 等数据库收录!
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