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ICPR
2006
IEEE
14 years 6 months ago
Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds
Detecting regions of interest in video sequences is the most important task in many high level video processing applications. In this paper a robust technique based on recursive l...
Alireza Tavakkoli, George Bebis, Mircea Nicolescu
ECCV
2006
Springer
14 years 6 months ago
Background Cut
Abstract. In this paper, we introduce background cut, a high quality and realtime foreground layer extraction algorithm. From a single video sequence with a moving foreground objec...
Jian Sun, Weiwei Zhang, Xiaoou Tang, Heung-Yeung S...
ACCV
2010
Springer
12 years 12 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
CVPR
2000
IEEE
13 years 9 months ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...
GI
2007
Springer
13 years 11 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell