Sciweavers

49 search results - page 6 / 10
» Mixture Models Based Background Subtraction for Video Survei...
Sort
View
CVPR
2003
IEEE
14 years 10 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...
ICASSP
2011
IEEE
13 years 9 days ago
A probabilistic pixel-based approach to detect humans in video streams
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper ...
Sébastien Piérard, Antoine Lejeune, ...
ICIP
2008
IEEE
14 years 10 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
ICPR
2006
IEEE
14 years 9 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...
CVPR
2000
IEEE
14 years 1 months ago
Scene Modeling for Wide Area Surveillance and Image Synthesis
We present a method for modeling a scene that is observed by a moving camera, where only a portion of the scene is visible at any time. This method uses mixture models to represen...
Anurag Mittal, Daniel P. Huttenlocher