Adaptive color background modeling for real-time segmentation of video streams

被引:0
|
作者
François, ARJ [1 ]
Medioni, GG [1 ]
机构
[1] Univ So Calif, Inst Robot & Intelligent Syst, Integrated Media Syst Ctr, Los Angeles, CA 90089 USA
关键词
image sequence processing; adaptive background modeling; video stream segmentation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a system to perform real-time background modeling and segmentation of video streams on a PC, in the context of video surveillance and multimedia applications. The images, captured with a fixed camera, are modeled as a fixed or slowly changing background, which may become occluded by mobile agents. The system learns a statistical color model of the background, which is used for detecting changes produced by occluding elements. We propose to operate in the Hue-Saturation-Value (HSV) color space, instead of the traditional RGB space, and show that it provides a better use of the color information, and naturally incorporates gray-level only processing. At each instant, the system maintains an updated background model, and a list of occluding regions that can then be tracked. Other applications are video compression, enhancement and modification, such as obstacle highlight or removal.
引用
收藏
页码:227 / 232
页数:4
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