Probabilistic data association applications to data fusion

Carlo Quaranta; Giorgio Balzarotti

doi:10.1117/1.2857445

1 February 2008 Probabilistic data association applications to data fusion

Carlo Quaranta, Giorgio Balzarotti

Author Affiliations +

Optical Engineering, Vol. 47, Issue 2, 027007 (February 2008). https://doi.org/10.1117/1.2857445

Abstract

We describe a new approach to fusion techniques in a multiple target tracking system for an infrared search and track (IRST) system operating in the mid- and long-wave infrared (IR) bands. The use of the two IR bands allows better performances in terms of detection probability, lower number of false tracks, and shorter time for track declaration. To properly merge data from the two sensors, an enhancement of the probabilistic data association (PDA) technique is introduced in the process. A simplification of the approach used brings back the algorithm to the well-known PDA, allowing its use in conjunction with the interacting multiple model (IMM) with increased tracking ability of the system.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Carlo Quaranta and Giorgio Balzarotti "Probabilistic data association applications to data fusion," Optical Engineering 47(2), 027007 (1 February 2008). https://doi.org/10.1117/1.2857445

Published: 1 February 2008

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