Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11306
Title: Novel multi-step recursive sampling strategy for particle filtering in object tracking
Authors: Chen, Z
Siu, WC 
Keywords: Multi-step sampling
Object tracking
Particle filtering
Recursive sampling
Resampling
Issue Date: 2012
Source: International Conference on Signal Processing Proceedings, ICSP, 2012, v. 2, 6491762, p. 1067-1070 How to cite?
Abstract: In this paper, we propose a new sampling strategy for particle filtering in object tracking. Improper sampling can bring in heavy computation for achieving acceptable tracking results in particle filter. We propose a multi-step recursive sampling method to replace the direct importance sampling. This relies on the feedback from the resampling procedure. New particles are sampled recursively from the existing particles with high weights. After the iterations, particles become densely populated, and this approach contributes significantly to achieve accurate position estimation. Experimental results indicate that the method reduces computation substantially and it also preserves good tracking results.
Description: 2012 11th International Conference on Signal Processing, ICSP 2012, Beijing, 21-25 October 2012
URI: http://hdl.handle.net/10397/11306
ISBN: 9781467321945
DOI: 10.1109/ICoSP.2012.6491762
Appears in Collections:Conference Paper

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