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Evaluation of tracking methods for maritime surveillance



Yvonne Fischer
Marcus Baum
Fabian Flohr
Uwe D. Hanebeck
Jürgen Beyerer


Proceedings of SPIE Volume 8392, 2012.


Signal Processing, Sensor Fusion, and Target Recognition XXI, Baltimore, Maryland, USA, 23.-25. April 2012

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.