Class-Dependent Gating Algorithm in Data Association

Shu Yan Yu; Hong Wei Quan

doi:10.4028/www.scientific.net/AMR.546-547.446

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547Class-Dependent Gating Algorithm in Data...

Class-Dependent Gating Algorithm in Data Association

Abstract:

Most conventional tracking gate algorithms only use the targets’ kinematic measurement information, which is typically resulted in great uncertainties of measurement-to-track association for multi-target tracking in clutter. The problem of constructing tracking gates using targets' class information is considered. The proposed algorithm integrates targets' identity information into the traditional tracking gating techniques. First, a class-dependent gate corresponding to each class of targets is developed. Second, the algorithm for constructing the class-dependent gate is given. Simulations are carried out to examine the proposed algorithm, where the simulation scenario shows that the measurement-to-track association using the class-dependent gating algorithm is significantly better than traditional method.

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Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

446-451

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.446

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Online since:

July 2012

Authors:

Shu Yan Yu, Hong Wei Quan

Keywords:

Class-Dependent Gate, Data Association, Target Tracking, Tracking Gate

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