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视频序列图像中运动目标检测与阴影去除
引用本文:明英, 蒋晶珏. 视频序列图像中运动目标检测与阴影去除[J]. 武汉大学学报 ( 信息科学版), 2008, 33(12): 1216-1220.
作者姓名:明英  蒋晶珏
作者单位:1武警武汉指挥学院,武汉市洪山区板桥村430064;2武汉大学计算机学院,武汉市珞喻路129号430079;3清华大学电子工程系,北京市海淀区,100084
基金项目:国家高技术研究发展计划(863计划) 
摘    要:提出了一种新的基于柯西分布的光照模型(shading model,SM)变化检测方法。在一种快速动态背景图像初始化的基础上,建立了Gaussian统计背景模型;基于使用统计假设检验方法检测变化区域的结果,利用YCbCr颜色空间的亮度、颜色信息,识别和消除视频序列图像中的阴影和反光等。试验表明,该文所提出的方法可以承受整体或局部的、缓慢或突然的背景光线变化,以及由场景背景中小的背景扰动、阴影或反光导致的噪声,可以较精确地检测背景目标,改善了SM方法在较暗区域的目标检测效果。

关 键 词:运动目标检测  背景建模  阴影  柯西分布
收稿时间:2008-10-15
修稿时间:2008-10-15

Moving Objects Detection and Shadows Elimination for Video Sequence
MING Ying, JIANG Jingjue. Moving Objects Detection and Shadows Elimination for Video Sequence[J]. Geomatics and Information Science of Wuhan University, 2008, 33(12): 1216-1220.
Authors:MING Ying  JIANG Jingjue
Affiliation:1Wuhan Command School of Armed Police Force,Hongshan District,Wuhan 430064,China;2School of Computer Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;3Department of Electronic Engineering,Tsinghua University,Haidian District,Beijing 100084,China
Abstract:A novel illumination-invariant Cauchy distribution based change detection using shading model(SM) for a fixed visual surveillance system is proposed.Both the initialization method of Gaussian background models and the estimation of parameters for the Cauchy distribution model under the maximum likelihood estimation are presented.Based on results of change detection using statistical hypothesis test,the intensity,hue and saturation in the YCbCr color space are employed to recognize and eliminate shadows and reflections in video sequences.Finally,experimental results demonstrate that the proposed method of background modeling can tolerate changes in illumination,and noises caused by some small motions,shadows or reflections in a background scene.The proposed approach also improves the performance of objects detection in darker regions.
Keywords:moving object detection  background modeling  shadows  Cauchy distribution
本文献已被 CNKI 维普 万方数据 等数据库收录!
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