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CVPR
2005
IEEE
14 years 9 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
ICIP
2005
IEEE
14 years 9 months ago
Off-line multiple object tracking using candidate selection and the Viterbi algorithm
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...
Anil C. Kokaram, François Pitié, Roz...
AROBOTS
2010
194views more  AROBOTS 2010»
13 years 6 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
ICPR
2004
IEEE
14 years 8 months ago
Probabilistic Object Tracking Using Multiple Features
We present a generic tracker which can handle a variety of different objects. For this purpose, groups of low-level features like interest points, edges, homogeneous and textured ...
David Serby, Esther Koller-Meier, Luc J. Van Gool
IPSN
2007
Springer
14 years 1 months ago
Tracking multiple targets using binary proximity sensors
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Jaspreet Singh, Upamanyu Madhow, Rajesh Kumar 0003...