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» A Bayesian Framework for Multi-cue 3D Object Tracking
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CIVR
2009
Springer
169views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Exploiting contextual data for event retrieval in surveillance video
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
Philip Kelly, Ciarán O. Conaire, Noel E. O'...
ICIP
2007
IEEE
14 years 9 months ago
Isomap Tracking with Particle Filtering
The problem of tracking involves challenges like in-plane and out-of-plane rotations, scaling, variations in ambient light and occlusions. In this paper we look at the problem of ...
Nikhil Rane, Stanley T. Birchfield
MICCAI
2003
Springer
14 years 8 months ago
Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues
The assessment of surgical skills for Minimally Invasive Surgery (MIS) has traditionally been conducted with visual observation and objective scoring. This paper presents a practic...
Benny P. L. Lo, Ara Darzi, Guang-Zhong Yang
ECCV
2002
Springer
14 years 9 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 1 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...