NDLI: Data association by loopy belief propagation

Content Provider	IEEE Xplore Digital Library
Author	Williams, J.L. Lau, R.A.
Copyright Year	2010
Abstract	Data association, or determining correspondence between targets and measurements, is a very difficult problem that is of great practical importance. In this paper we formulate the classical multi-target data association problem as a graphical model and demonstrate the remarkable performance that approximate inference methods, specifically loopy belief propagation, can provide. We apply it to calculating marginal association weights (e.g., for JPDA) for single scan and multiple scan problems, and to calculating a MAP hypothesis (i.e., multi-dimensional assignment). Through computational experiments involving challenging problems, we demonstrate the remarkable performance of this very simple, polynomial time algorithm; e.g., errors of less than 0.026 in marginal association weights and finding the optimal 5D assignment 99.4% of the time for a problem with realistic parameters. Impressively, the formulation commits smaller errors in association weights in challenging environments, i.e., in problems with low $P_{d}$ and/or high false alarm rates. Our formulation paves the way for the expanding literature on approximate inference methods in graphical models to be applied to classical data association problems.
Sponsorship	ISIF
Starting Page	1
Ending Page	8
File Size	338855
Page Count	8
File Format	PDF
e-ISBN	9780982443811
DOI	10.1109/ICIF.2010.5711833
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-26
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphical models Markov processes Joints Inference algorithms Convergence Target tracking Time measurement multi-dimensional assignment Data association JPDA graphical models loopy belief propagation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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