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Multi-Target Tracking

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Particle Filters for Random Set Models

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Abstract

Multi-target tracking refers to sequential estimation of the number of targets and their states (positions, velocities, etc.) tagged by a unique label. Hence the output of a tracking algorithm are tracks, where a track represents a labeled temporal sequence of state estimates, associated with the same target.

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  1. DSTO, Lorimer Street 506, 3207, Port Melbourne, Australia

    Branko Ristic

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  1. Branko Ristic
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Correspondence to Branko Ristic .

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Ristic, B. (2013). Multi-Target Tracking. In: Particle Filters for Random Set Models. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6316-0_6

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  • DOI: https://doi.org/10.1007/978-1-4614-6316-0_6

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  • Print ISBN: 978-1-4614-6315-3

  • Online ISBN: 978-1-4614-6316-0

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