Background modeling using mixture of gaussians for foreground detection-a survey
T Bouwmans, F El Baf, B Vachon - Recent patents on computer …, 2008 - ingentaconnect.com
Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …
objects from static cameras. Numerous improvements of the original method developed by …
Recent advanced statistical background modeling for foreground detection-a systematic survey
T Bouwmans - Recent Patents on Computer Science, 2011 - ingentaconnect.com
Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …
static cameras. Numerous statistical methods have been developed over the recent years …
Fuzzy integral for moving object detection
F El Baf, T Bouwmans, B Vachon - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
Detection of moving objects is the first step in many applications using video sequences like
video-surveillance, optical motion capture and multimedia application. The process mainly …
video-surveillance, optical motion capture and multimedia application. The process mainly …
Learning sharable models for robust background subtraction
Background modeling and subtraction is a classical topic in compute vision. Gaussian
mixture modeling (GMM) is a popular choice for its capability of adaptation to background …
mixture modeling (GMM) is a popular choice for its capability of adaptation to background …
[PDF][PDF] Background subtraction for visual surveillance: A fuzzy approach
T Bouwmans - Handbook on soft computing for video surveillance, 2012 - researchgate.net
Background Subtraction for Visual Surveillance Page 1 5 Background Subtraction for Visual
Surveillance: A Fuzzy Approach Thierry Bouwmans University of La Rochelle, La Rochelle …
Surveillance: A Fuzzy Approach Thierry Bouwmans University of La Rochelle, La Rochelle …
Video foreground detection based on symmetric alpha-stable mixture models
Background subtraction (BS) is an efficient technique for detecting moving objects in video
sequences. A simple BS process involves building a model of the background and …
sequences. A simple BS process involves building a model of the background and …
Integrated human target detection, identification and tracking for surveillance applications
H Bhaskar - 2012 6th IEEE International Conference Intelligent …, 2012 - ieeexplore.ieee.org
In recent years, a large amount of research efforts have been spent in the tracking human
targets using one or more visual sensors (cameras) in both indoor and outdoor security and …
targets using one or more visual sensors (cameras) in both indoor and outdoor security and …
[图书][B] Handbook on soft computing for video surveillance
Information on integrating soft computing techniques into video surveillance is widely
scattered among conference papers, journal articles, and books. Bringing this research …
scattered among conference papers, journal articles, and books. Bringing this research …
A unified model sharing framework for moving object detection
Millions of surveillance cameras have been installed in public areas, producing vast
amounts of video data every day. It is an urgent need to develop intelligent techniques to …
amounts of video data every day. It is an urgent need to develop intelligent techniques to …
Multiple features based shared models for background subtraction
Background modeling is a fundamental problem in computer vision and usually as the first
step for high-level applications. Pixel based approaches usually ignore the spatial …
step for high-level applications. Pixel based approaches usually ignore the spatial …