Paper
17 May 2012 Evaluation of tracking methods for maritime surveillance
Yvonne Fischer, Marcus Baum, Fabian Flohr, Uwe D. Hanebeck, Jürgen Beyerer
Author Affiliations +
Abstract
In this article, we present an evaluation of several multi-target tracking methods based on simulated scenarios in the maritime domain. In particular, we consider variations of the Joint Integrated Probabilistic Data Association (JIPDA) algorithm, namely the Linear Multi-Target IPDA (LMIPDA), Linear Joint IPDA (LJIPDA), and Markov Chain Monte Carlo Data Association (MCMCDA). The algorithms are compared with respect to an extension of the Optimal Subpattern Assignment (OSPA) metric, the Hellinger distance and further performance measures. As no single algorithm is equally well fitted to all tested scenarios, our results show which algorithms fits best for specific scenarios.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yvonne Fischer, Marcus Baum, Fabian Flohr, Uwe D. Hanebeck, and Jürgen Beyerer "Evaluation of tracking methods for maritime surveillance", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839208 (17 May 2012); https://doi.org/10.1117/12.919234
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Cited by 1 scholarly publication.
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KEYWORDS
Detection and tracking algorithms

Sensors

Visualization

Maritime surveillance

Monte Carlo methods

Data integration

Optical tracking

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