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2008
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13 years 4 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
WACV
2005
IEEE
13 years 10 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
WCE
2007
13 years 6 months ago
Motion Detection Based On Accumulative Optical Flow and Double Background Filtering
—Moving object detection is very important for video surveillance. In this paper, we present a new real time motion detection algorithm that is based on the integration of accumu...
Nan Lu, Jihong Wang, Li Yang, Q. Henry Wu
ICIP
2006
IEEE
14 years 6 months ago
Estimation of Dynamic Background for Fluorescence Video-Microscopy
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...
Charles Kervrann, Jérôme Boulanger, P...
ICIP
2008
IEEE
13 years 11 months ago
A fuzzy approach for background subtraction
Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classifi...
Fida El Baf, Thierry Bouwmans, Bertrand Vachon