Adaptive background model - art. no. 678651

被引：0
|
作者：
Lu, Xiaochun [1 ]
Xiao, Yijun [1 ]
Chai, Zhi [1 ]
Wang, Bangping [1 ]
机构：
[1] Sichuan Univ, Sch Comp Sci, Graph & Image Res Lab, Chengdu 610064, Peoples R China
来源：
MIPPR 2007: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS; AND MULTISPECTRAL IMAGE ACQUISITION, PTS 1 AND 2 | 2007年 / 6786卷
关键词：
adaptive background model; pixel classification; color similarity; background subtraction;
D O I：
10.1117/12.750992
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
An adaptive background model aiming at outdoor vehicle detection is presented in this paper. This model is an improved model of PICA (pixel intensity classification algorithm), it classifies pixels into K-distributions by color similarity, and then a hypothesis that the background pixel color appears in image sequence with a high frequency is used to evaluate all the distributions to determine which presents the current background color. As experiments show, the model presented in this paper is a robust, adaptive and flexible model, which can deal with situations like camera motions, lighting changes and so on.
引用
收藏
页码：78651 / 78651
页数：6
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