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» Multiple Object Tracking with Kernel Particle Filter
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AROBOTS
2007
153views more  AROBOTS 2007»
13 years 7 months ago
An integrated particle filter and potential field method applied to cooperative multi-robot target tracking
We describe a novel method whereby a particle filter is used to create a potential field for robot control without prior clustering. We show an application of this technique to ...
Roozbeh Mottaghi, Richard T. Vaughan
CVPR
2003
IEEE
14 years 9 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 1 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
ICASSP
2011
IEEE
12 years 11 months ago
Graph-based sequential particle filtering in lossy networks: Single and multiple collaborative cameras
This paper presents a novel approach of multiple target tracking from multiple collaborative cameras. Firstly, particle filtering for conditional density propagation on graphs to...
Jing Huang, Dan Schonfeld