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ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
ICASSP
2009
IEEE
13 years 5 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
Yi Wu, Jinqiao Wang, Hanqing Lu
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
CVIU
2010
184views more  CVIU 2010»
13 years 5 months ago
Vision and RFID data fusion for tracking people in crowds by a mobile robot
In this paper, we address the problem of realizing a human following task in a crowded environment. We consider an active perception system, consisting of a camera mounted on a pa...
Thierry Germa, Frédéric Lerasle, Nou...
ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
14 years 20 days ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...