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    Automated multi-target tracking with kinematic and non-kinematic information

    Access Status
    Fulltext not available
    Authors
    Bae, S.
    Kim, Du Yong
    Yoon, J.
    Shin, V.
    Yoon, K.
    Date
    2012
    Collection
    • Curtin Research Publications
    Type
    Journal Article
    Metadata
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    Abstract

    The authors address an automated multi-target tracking (MTT) problem. In particular, our study is focused on robust data association considering an additional feature and the reliable track management by avoiding track duplications. As the additional feature, the amplitude information is combined with position measurements to improve the performance of the data association so as to effectively distinguish target-originated measurements from clutters. Because of its form of signal-to-noise ratio (SNR), which is often fluctuated according to targets' aspect and effective radar cross section, the usage of the amplitude information is not straightforward. To reduce the certain level of uncertainty of the SNR, the authors propose the SNR estimation algorithm. Moreover, the authors avoid the track duplication problem to achieve the reliability of track maintenance. Specifically, the authors solve the problem by exploiting well-known mean shift algorithm to merge duplications into appropriate clusters. Simulation results demonstrate the effectiveness and high estimation accuracy of the proposed MTT filter compared to existing methods. © 2012 The Institution of Engineering and Technology.

    Citation
    Bae, S. and Kim, D.Y. and Yoon, J. and Shin, V. and Yoon, K. 2012. Automated multi-target tracking with kinematic and non-kinematic information. IET Radar, Sonar and Navigation. 6 (4): pp. 272-281.
    Source Title
    IET Radar, Sonar and Navigation
    URI
    http://hdl.handle.net/20.500.11937/55397
    DOI
    10.1049/iet-rsn.2011.0154
    Department
    Department of Electrical and Computer Engineering

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