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CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
MVA
2002
123views Computer Vision» more  MVA 2002»
13 years 7 months ago
Pose Estimation for Insertion of Orbital Replacement Units Against Cluttered Background Using a Non-calibrated Camera
In this paper, we present work from our ongoing project on vision-guided retrieval and insertion of ORUs. Guidance is to be provided through estimated relative poses between an OR...
Chiun-Hong Chien
PRIS
2003
13 years 8 months ago
A Comparison of Line Detectors for Image Background Modelling
Abstract. In the context of multimedia data analysis, it is often necessary to understand what happens in a scene, which can rely on detecting and tracking the different moving obj...
Sébastien Lefèvre, Cédric Jeu...
CVPR
2005
IEEE
13 years 9 months ago
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...
CVPR
2003
IEEE
14 years 23 days ago
Continuous Tracking Within and Across Camera Streams
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Jinman Kang, Isaac Cohen, Gérard G. Medioni