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» Bayesian Self-Calibration of a Moving Camera
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CVPR
2005
IEEE
14 years 9 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah
ICCV
2003
IEEE
14 years 9 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
CVPR
2000
IEEE
14 years 9 months ago
Real-Time Tracking of Non-Rigid Objects Using Mean Shift
A new method for real-time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift iterations and nds the ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ICCV
2001
IEEE
14 years 9 months ago
Multi-Agent Event Recognition
This paper presents a new approachto recognizingmultiagent events observed by a static camera. To track objects robustly, knowledgeabout the groundplaneand the events is used. An ...
Somboon Hongeng, Ramakant Nevatia
TOG
2002
208views more  TOG 2002»
13 years 7 months ago
Video matting of complex scenes
This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon technique...
Yung-Yu Chuang, Aseem Agarwala, Brian Curless, Dav...