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» Video Objects Segmentation by Robust Background Modeling
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ICPR
2006
IEEE
14 years 8 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 9 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...
JMM2
2007
148views more  JMM2 2007»
13 years 7 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Segmenting Layers in Automated Visual Surveillance
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
Lijuan Qin, Yueting Zhuang, Yunhe Pan, Fei Wu
ICPR
2008
IEEE
14 years 2 months ago
Monocular video foreground segmentation system
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...
Xiaoyu Wu, Yangsheng Wang, Xiaolong Zheng