Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18646
Title: Enhanced particles with pseudolikelihoods for three-dimensional tracking
Authors: Chen, H
Li, Y
Keywords: 3-D tracking
Importance density
Particle filtering
Pseudolikelihood
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial electronics, 2009, v. 56, no. 8, p. 2992-2997 How to cite?
Journal: IEEE transactions on industrial electronics 
Abstract: In this paper, we propose a new method to fuse sensing data of the most current observation into a 3-D visual tracker using pseudolikelihood functions with particle filtering techniques. With the proposed approach, the importance density function in particle filter can be modified to represent posterior states by particle crowds in a better way. Thus, it makes the tracking system more robust to noise and outliers. On the other hand, because the particle interpretation is performed in a much more efficient fashion, the number of particles used in tracking is greatly reduced, which improves the real-time performances of the system. Simulation and experimental results verified the effectiveness of the proposed method.
URI: http://hdl.handle.net/10397/18646
ISSN: 0278-0046
EISSN: 1557-9948
DOI: 10.1109/TIE.2009.2024099
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