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    Object trajectory clustering via tensor analysis

    Zhou, H. and Tao, D. and Yuan, Y. and Li, Xuelong (2009) Object trajectory clustering via tensor analysis. In: UNSPECIFIED (ed.) Image Processing. New York, USA: Institute of Electrical and Electronics Engineers, pp. 1945-1948. ISBN 9781424456536.

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    Abstract

    In this paper we present a new video object trajectory clustering algorithm, which allows us to model and analyse the patterns of object behaviors based on the extracted features using tensor analysis. The proposed algorithm consists of three steps as follows: extraction of trajectory features by tensor analysis, non-parametric probabilistic mean shift clustering and clustering correction. The performance of the proposed algorithm is evaluated on standard data-sets and compared with classical techniques.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 11 Jul 2013 10:46
    Last Modified: 11 Oct 2016 15:27
    URI: http://eprints.bbk.ac.uk/id/eprint/7640

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