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ECCV
2008
Springer
14 years 10 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
IVC
2007
301views more  IVC 2007»
13 years 8 months ago
Kinematic sets for real-time robust articulated object tracking
In this article a new approach is given for real-time visual tracking of a class of articulated non-rigid objects in 3D. The main contribution of this paper consists in symmetrica...
Andrew I. Comport, Éric Marchand, Fran&cced...
ECCV
2002
Springer
14 years 10 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah
BMVC
1998
13 years 10 months ago
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna
CVPR
2005
IEEE
14 years 11 months ago
MER-DIMES: A Planetary Landing Application of Computer Vision
During the Mars Exploration Rovers (MER) landings, the Descent Image Motion Estimation System (DIMES) was used for horizontal velocity estimation. The DIMES algorithm combines mea...
Yang Cheng, Andrew Edie Johnson, Larry Matthies