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基于局部强度比率特征的前景检测 被引量：1

Robust Foreground Detection Using Local Intensity Ratio
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摘要 对运动的真实前景目标进行实时提取是监控视频中的一个基本步骤。在前景提取过程中,阴影消除一直是一个较难解决的问题。为解决此问题,根据光照模型提出了局部强度比率模型,并证明其具有光照不变性特征。同时证明,如果视频图像噪声高斯分布,则局部强度比率也满足高斯分布。在通过高斯混合模型获取前景的过程中,用局部强度比率代替像素值进行处理,得到消除阴影后的前景。实验表明,本方法在不同的场景下可以有效地消除阴影,得到无阴影的前景,同其他方法比较,显示出较好的性能。 Real time segmentation of foreground objects in video sequences is a fundamental step for surveillance.This paper proposed a local intensity ratio（LIR） to remove shadow.The local intensity ratio has the illumination invariance feature which is based on the analysis of illumination change model.The distribution of the LIR was discussed.We used the local intensity ratio instead of pixel intensity for Gaussian Mixture ModeI（GMM）,and then got the foreground without shadow.Based on experimental results,the LIR feature shows excellent performance under various illumination change conditions while operating in real-time.
作者 向金海 廖红虹 樊恒 代江华 孙伟平 余胜生
机构地区 华中科技大学计算机学院 华中农业大学理学院
出处 《计算机科学》 CSCD 北大核心 2014年第3期293-296,F0003,共5页 Computer Science
基金 中央高校基本科研业务费专项资金资助项目(2013QC024)资助
关键词 局部强度比率 阴影消除 高斯混合模型 光照变化 Local intensity ratio（LIR） Shadow remove Gaussian mixture model （GMM） Illumination change
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献20

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二级参考文献26

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共引文献12

同被引文献17

  • 1王明佳,王延杰,张旭光.利用邻域象素合成实现对目标的快速自动标记[J].微型机与应用,2005,24(9):49-51. 被引量：1
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  • 10Jiangyan Dai, Miao Qi, Xiaoxi Yu, et al. Integrated moving cast shadows detection method[J]. Optical Engineering,2012,51 ( 11 ) : 117005 - 1 -14.

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计算机科学
2014年 第3期

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