Computer and Information Technology, International Conference on (2012)
Chengdu, Sichuan, China China
Oct. 27, 2012 to Oct. 29, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2012.36
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.
Clustering, Particle Filter, PHD Filter, resampling, UKF
X. Tang, J. Zhou, J. Huang and P. Wei, "Improved Particle Implementation of the Probability Hypothesis Density Filter in Resampling," 2012 IEEE 12th International Conference on Computer and Information Technology (CIT), Chengdu, 2012, pp. 56-61.