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» A Bayesian Framework for Multi-cue 3D Object Tracking
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CVPR
2008
IEEE
14 years 9 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
IROS
2007
IEEE
160views Robotics» more  IROS 2007»
14 years 1 months ago
Outdoor visual path following experiments
Abstract— In this paper the performance of a topologicalmetric visual path following framework is investigated in different environments. The framework relies on a monocular came...
Albert Diosi, Anthony Remazeilles, Sinisa Segvic, ...
CVPR
2012
IEEE
11 years 10 months ago
Robust visual tracking using autoregressive hidden Markov Model
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
CVPR
2005
IEEE
14 years 9 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
CRV
2011
IEEE
254views Robotics» more  CRV 2011»
12 years 7 months ago
Wavelet Model-based Stereo for Fast, Robust Face Reconstruction
—When reconstructing a specific type or class of object using stereo, we can leverage prior knowledge of the shape of that type of object. A popular class of object to reconstru...
Alan Brunton, Jochen Lang, Eric Dubois, Chang Shu