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    A Metric for Performance Evaluation of Multi-Target Tracking Algorithms

    Access Status
    Fulltext not available
    Authors
    Ristic, B.
    Vo, Ba-Ngu
    Clark, D.
    Vo, Ba Tuong
    Date
    2011
    Type
    Journal Article
    
    Metadata
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    Citation
    Ristic, B. and Vo, B. and Clark, D. and Vo, B.T. 2011. A Metric for Performance Evaluation of Multi-Target Tracking Algorithms. IEEE Transactions on Signal Processing. 59 (7): pp. 3452-3457.
    Source Title
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2011.2140111
    ISSN
    1053-587X
    URI
    http://hdl.handle.net/20.500.11937/30433
    Collection
    • Curtin Research Publications
    Abstract

    Performance evaluation of multi-target tracking algorithms is of great practical importance in the design, parameter optimization and comparison of tracking systems. The goal of performance evaluation is to measure the distance between two sets of tracks: the ground truth tracks and the set of estimated tracks. This paper proposes a mathematically rigorous metric for this purpose. The basis of the proposed distance measure is the recently formulated consistent metric for performance evaluation of multi-target filters, referred to as the OSPA metric. Multi-target filters sequentially estimate the number of targets and their position in the state space. The OSPA metric is therefore defined on the space of finite sets of vectors. The distinction between filtering and tracking is that tracking algorithms output tracks and a track represents a labeled temporal sequence of state estimates, associated with the same target. The metric proposed in this paper is therefore defined on the space of finite sets of tracks and incorporates the labeling error. Numerical examples demonstrate that the proposed metric behaves in a manner consistent with our expectations.

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