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Study of Multi-target Tracking and Data Association Based on Sequential Monte Carlo Algorithm

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4 Author(s)
Fan Lin-bo ; Inst. of Reliability Eng., Guizhou Univ., Guiyang ; Kang Li ; Wu Ying-cheng ; Zhao Ming

A new method based on sequential Monte Carlo algorithm is proposed for tracking multi-target and data association in non-linear system. The algorithm partitions the problem of multi-target tracking into two problems: single target tracking and data association. Single target tracking is implemented by using UKF and data association by using sequential Monte Carlo algorithm. Since Particle Filter has advantages in non-linear non-Gauss system, the proposed method performs well in the experiment.

Published in:

2008 International Seminar on Future BioMedical Information Engineering

Date of Conference:

18-18 Dec. 2008