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Topological and statistical behavior classifiers for tracking applications

Publication ,  Journal Article
Bendich, P; Chin, SP; Clark, J; DeSena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A
Published in: IEEE Transactions on Aerospace and Electronic Systems
December 1, 2016

This paper introduces a method to integrate target behavior into the multiple hypothesis tracker (MHT) likelihood ratio. In particular, a periodic track appraisal based on behavior is introduced. The track appraisal uses elementary topological data analysis coupled with basic machine-learning techniques, and it adjusts the traditional kinematic data association likelihood (i.e., track score) using an established formulation for feature-aided data association. The proposed method is tested and demonstrated on synthetic vehicular data representing an urban traffic scene generated by the Simulation of Urban Mobility package. The vehicles in the scene exhibit different driving behaviors. The proposed method distinguishes those behaviors and shows improved data association decisions relative to a conventional, kinematic MHT.

Duke Scholars

Published In

IEEE Transactions on Aerospace and Electronic Systems

DOI

ISSN

0018-9251

Publication Date

December 1, 2016

Volume

52

Issue

6

Start / End Page

2644 / 2661

Related Subject Headings

  • Aerospace & Aeronautics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 4001 Aerospace engineering
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0901 Aerospace Engineering
 

Citation

APA
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ICMJE
MLA
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Bendich, P., Chin, S. P., Clark, J., DeSena, J., Harer, J., Munch, E., … Watkins, A. (2016). Topological and statistical behavior classifiers for tracking applications. IEEE Transactions on Aerospace and Electronic Systems, 52(6), 2644–2661. https://doi.org/10.1109/TAES.2016.160405
Bendich, P., S. P. Chin, J. Clark, J. DeSena, J. Harer, E. Munch, A. Newman, et al. “Topological and statistical behavior classifiers for tracking applications.” IEEE Transactions on Aerospace and Electronic Systems 52, no. 6 (December 1, 2016): 2644–61. https://doi.org/10.1109/TAES.2016.160405.
Bendich P, Chin SP, Clark J, DeSena J, Harer J, Munch E, et al. Topological and statistical behavior classifiers for tracking applications. IEEE Transactions on Aerospace and Electronic Systems. 2016 Dec 1;52(6):2644–61.
Bendich, P., et al. “Topological and statistical behavior classifiers for tracking applications.” IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 6, Dec. 2016, pp. 2644–61. Scopus, doi:10.1109/TAES.2016.160405.
Bendich P, Chin SP, Clark J, DeSena J, Harer J, Munch E, Newman A, Porter D, Rouse D, Strawn N, Watkins A. Topological and statistical behavior classifiers for tracking applications. IEEE Transactions on Aerospace and Electronic Systems. 2016 Dec 1;52(6):2644–2661.

Published In

IEEE Transactions on Aerospace and Electronic Systems

DOI

ISSN

0018-9251

Publication Date

December 1, 2016

Volume

52

Issue

6

Start / End Page

2644 / 2661

Related Subject Headings

  • Aerospace & Aeronautics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 4001 Aerospace engineering
  • 0909 Geomatic Engineering
  • 0906 Electrical and Electronic Engineering
  • 0901 Aerospace Engineering