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» Background Subtraction Based on a Robust Consensus Method
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ICASSP
2011
IEEE
14 years 1 months ago
A region based approach to background modeling in a wavelet multi-resolution framework
In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing ...
Ainhoa Mendizabal, Luis Salgado
WACV
2005
IEEE
15 years 3 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
ACCV
2006
Springer
15 years 3 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
2003
IEEE
15 years 11 months ago
Robust moving video object segmentation in the MPEG compressed domain
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a moti...
Xiao-Dong Yu, Ling-Yu Duan, Qi Tian
ICPR
2008
IEEE
15 years 11 months ago
Background modelling in demanding situations with confidence measure
Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We d...
Juan Alfonso Rosell Ortega, Gabriela Andreu Garc&i...