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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2010
IEEE
14 years 3 months ago
On Detection of Multiple Object Instances using Hough Transforms
To detect multiple objects of interest, the methods based on Hough transform use non-maxima supression or mode seeking in order to locate and to distinguish peaks in Hough images....
Olga Barinova, Victor Lempitsky, Pushmeet Kohli
ICCV
2001
IEEE
14 years 9 months ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth
RECOMB
2010
Springer
13 years 6 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
14 years 1 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard
MICCAI
2007
Springer
14 years 1 months ago
A Probabilistic Framework for Tracking Deformable Soft Tissue in Minimally Invasive Surgery
The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation...
Peter Mountney, Benny P. L. Lo, Surapa Thiemjarus,...