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ACCV
2006
Springer
13 years 10 months ago
Smooth Foreground-Background Segmentation for Video Processing
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
Konrad Schindler, Hanzi Wang
ACCV
2006
Springer
13 years 10 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
ICIP
2007
IEEE
13 years 10 months ago
Background Modeling Based on Subpixel Edges
We propose an approach to model the background of images in a video sequence based on subpixel edge map. This work is motivated by the observation that intensity based background ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
ICCCN
2007
IEEE
13 years 10 months ago
Motion-based Background Modeling for Moving Object Detection on Moving Platforms
— A method to detect moving objects on non-stationary background is proposed. The concurrent motions of foreground and background pixels make it extremely difficult to maintain a...
Ming-Yu Shih, Yao-Jen Chang, Bwo-Chau Fu, Chingchu...
CVPR
2003
IEEE
14 years 6 months ago
Evaluation of Local Models of Dynamic Backgrounds
Background subtraction is the first step of many video surveillance applications. What is considered background varies by application, and may include regular, systematic, or comp...
Robert Pless, John Larson, Scott Siebers, Ben West...