Journal on Communications ›› 2012, Vol. 33 ›› Issue (12): 147-153.doi: 10.3969/j.issn.1000-436x.2012.12.019

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Random finite sets based UPF-CPHD multi-object tracking

Hui-bin WANG,Zhe CHEN,Xin WANG,Yu MA   

  1. College of Computer and Information Engineering,Hohai University,Nanjing 211100,China
  • Online:2012-12-25 Published:2017-07-15
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

A multiple tracking method based on UPF-CPHD was proposed,in which the state and observation of the object were both described by the random finite sets (RSF).The CPHD algorithm was also introduced into the UPF framework to simultaneously deduce the object state and object number,making the estimation more precise.The experimental results show that the proposed UPF-CPHD algorithm is able to improve the estimation accuracy of the object number and state,as well as enhance the object tracking results.

Key words: random finite sets, multi-object tracking, unscented particle filter, cardinality probability hypothesis density

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