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Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm

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Document pages: 15 pages

Abstract: Multitarget tracking (MTT) is a challenging task that aims at estimating thenumber of targets and their states from measurements of the target statesprovided by one or multiple sensors. Additional information, such as imperfectestimates of target classes provided by a classifier, can facilitate thetarget-measurement association and thus improve MTT performance. In thisletter, we describe how a recently proposed MTT framework based on thesum-product algorithm can be extended to efficiently exploit class information.The effectiveness of the proposed approach is demonstrated by simulationresults.

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