Probabilistic track-to-track association

Tim Zajic

doi:10.1117/12.2177206

21 May 2015 Probabilistic track-to-track association

Tim Zajic

Proceedings Volume 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV; 94740B (2015) https://doi.org/10.1117/12.2177206
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

We consider the track-to-track association problem. This problem is often a key ingredient when seeking to integrate data from multiple sensors. We propose a probabilistic approach, inspired by the joint probabilistic data association, or JPDA, approach used in the data association problem. To solve the proposed model we adapt a recent deterministic polynomial-time approximation algorithm. We give consideration also to the setting in which one or more sensors may contain biases.

Citation Download Citation

Tim Zajic "Probabilistic track-to-track association", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740B (21 May 2015); https://doi.org/10.1117/12.2177206

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