Improved Particle Implementation of the Probability Hypothesis Density Filter in Resampling

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Oct 2012Publisher:IEEEJournal:2012 IEEE 12th International Conference on Computer and Information Technology

Authors: Xu Tang; Jian Zhou; Jian Huang; Ping Wei;

doi: 10.1109/cit.2012.36

Improved Particle Implementation of the Probability Hypothesis Density Filter in Resampling

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Abstract

A novel particle-PHD filter algorithm is proposed to deal with the multi-target tracking. It takes into account the most recent measurements by the unscented Kalman filter, not in the step of proposal distribution generation as usual, but in resampling step, to enhance the efficiency of the particle sampling. Simulation results show that the proposed algorithm outperforms the algorithms in the literature in performance but with extremely less computational cost.

Related Organizations

University of Electronic Science and Technology of China
China (People's Republic of)

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