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» Model-Based Hand Tracking Using an Unscented Kalman Filter
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AUSAI
2004
Springer
13 years 10 months ago
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
ROBIO
2006
IEEE
249views Robotics» more  ROBIO 2006»
13 years 11 months ago
Vision and Laser Data Fusion for Tracking People with a Mobile Robot
— In this paper we present a multi-sensor fusion system for tracking people with a mobile robot, which integrates the information provided by a laser range sensor and a PTZ camer...
Nicola Bellotto, Huosheng Hu
ICVS
2009
Springer
13 years 12 months ago
A Multiple Hypothesis Approach for a Ball Tracking System
This paper presents a computer vision system for tracking and predicting flying balls in 3-D from a stereo-camera. It pursues a “textbook-style” approach with a robust circle ...
Oliver Birbach, Udo Frese
MICCAI
2009
Springer
14 years 6 months ago
Two-Tensor Tractography Using a Constrained Filter
We describe a technique to simultaneously estimate a weighted, positive-definite multi-tensor fiber model and perform tractography. Existing techniques estimate the local fiber ori...
James G. Malcolm, Martha Elizabeth Shenton, Yoge...
AROBOTS
2010
194views more  AROBOTS 2010»
13 years 3 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