14 search results - page 1 / 3 » Robust Recursive Learning for Foreground Region Detection in... |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
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...
ACCV
2010
Springer
12 years 11 months ago
2010
Springer
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
PCM
2004
Springer
13 years 10 months ago
2004
Springer
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...