Background estimation and adaptation model with light-change removal for heavily down-sampled video surveillance signals

被引:9
作者
Cvetkovic, Sascha [1 ]
Bakker, Peter [1 ]
Schirris, Johan [1 ]
de With, Peter H. N. [2 ]
机构
[1] Bosch Security Syst, NL-5616 LW Eindhoven 2, Netherlands
[2] Univ Technol Eindhoven, LogicaCMG, NL-5600 MB Eindhoven, Netherlands
来源
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词
background subtraction; light-change; surveillance;
D O I
10.1109/ICIP.2006.312602
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a background-subtraction system with light change-detection which works on a luminance QCIF-size video signal for surveillance applications. The new proposed pixel background model is controlled by a statistical threshold and is robust for cluttered background and small object motions. Moreover, for light-change detection, we introduce temporal prediction of pixel values to estimate trends while quickly adapting to scene changes to facilitate a very sensitive detection of moving targets. Experiments show that a local contrast enhancement applied prior to down-sampling improves detection sensitivity, and combined with the shifted scaled difference and the Wronskian determinant operators provides the best background/foreground detection.
引用
收藏
页码:1829 / +
页数:2
相关论文
共 7 条
[1]  
BEVILACQUA A, 2005, IEEE P INT C IM P IC, V2, P434
[2]  
BRODSKY T, 2002, Patent No. 0194110
[3]   Robust techniques for background subtraction in urban traffic video [J].
Cheung, SCS ;
Kamath, C .
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2004, PTS 1 AND 2, 2004, 5308 :881-892
[4]   Change detection and background extraction by linear algebra [J].
Durucan, E ;
Ebrahimi, T .
PROCEEDINGS OF THE IEEE, 2001, 89 (10) :1368-1381
[5]   Background and foreground modeling using nonparametric kernel density estimation for visual surveillance [J].
Elgammal, A ;
Duraiswami, R ;
Harwood, D ;
Davis, LS .
PROCEEDINGS OF THE IEEE, 2002, 90 (07) :1151-1163
[6]   Detecting moving shadows: Algorithms and evaluation [J].
Prati, A ;
Mikic, I ;
Trivedi, MM ;
Cucchiara, R .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (07) :918-923
[7]  
Stauffer C., 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), P246, DOI 10.1109/CVPR.1999.784637