Global space-time association for Probability Hypothesis Density filter

Xi Shi, Feng Yang, Yan Liang, Quan Pan, Yongqi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The Probability Hypothesis Density (PHD) method can handle multi-target tracking problem, but it needs a specific association method to extract the target tracks. Up to now, such association methods are limited in the scope of temporal association, for example, the track labeling method. In this paper, we present the concept of the consistency measure between any two local peaks at the adjacent two time instants by using both spatial structure information and temporal evolution information. Furthermore, the global-space-time association is proposed through extracting the tracks one-by-one based on the consistency measure and three rules. The proposed method is testified via a simulation comparison with the track labeling method.

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Information Fusion, FUSION 2013
Pages304-311
Number of pages8
StatePublished - 2013
Event16th International Conference of Information Fusion, FUSION 2013 - Istanbul, Turkey
Duration: 9 Jul 201312 Jul 2013

Publication series

NameProceedings of the 16th International Conference on Information Fusion, FUSION 2013

Conference

Conference16th International Conference of Information Fusion, FUSION 2013
Country/TerritoryTurkey
CityIstanbul
Period9/07/1312/07/13

Keywords

  • consistency
  • global-space-time association
  • Probability Hypothesis Density (PHD)
  • spatial structure information
  • the track labeling method

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