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CVPR
2006
IEEE
14 years 9 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
MVA
2008
201views Computer Vision» more  MVA 2008»
13 years 7 months ago
How close are we to solving the problem of automated visual surveillance?
The problem of automated visual surveillance has spawned a lively research area, with 2005 seeing three conferences or workshops and special issues of two major journals devoted to...
Hannah M. Dee, Sergio A. Velastin
IJCNN
2007
IEEE
14 years 1 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ICIP
2005
IEEE
14 years 9 months ago
Network embedded FEC (NEF) for video multicast in presence of packet loss correlation
Network Embedded Forward Error Correction (NEF) framework is a paradigm shift from a conventional approach of providing Forward Error Correction (FEC) only on an end-to-end basis....
Shirish S. Karande, Mingquan Wu, Hayder Radha
ICCV
2001
IEEE
14 years 9 months ago
BraMBLe: A Bayesian Multiple-Blob Tracker
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models which allow effective background subtraction and robus...
Michael Isard, John MacCormick