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    Treshold dynamic time warping for spatial activity recognition

    Access Status
    Fulltext not available
    Authors
    Riedel, Daniel
    Venkatesh, Svetha
    Liu, Wan-Quan
    Date
    2007
    Type
    Journal Article
    
    Metadata
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    Citation
    Riedel, Daniel and Venkatesh, Svetha and Liu, Wan-Quan. 2007. Treshold dynamic time warping for spatial activity recognition. International Journal of Information and Systems Sciences. 3 (3): pp. 392-405.
    Source Title
    International Journal of Information and Systems Sciences
    Additional URLs
    http://www.math.ualberta.ca/ijiss/SS-volume-3-07.htm
    ISSN
    1708296X
    Faculty
    School of Electrical Engineering and Computing
    Department of Computing
    Faculty of Science and Engineering
    Remarks

    The link to the journal’s home page is: http://www.math.ualberta.ca/ijiss/

    Copyright © 2007 Institute for Scientific Computing and Information

    URI
    http://hdl.handle.net/20.500.11937/7381
    Collection
    • Curtin Research Publications
    Abstract

    Non-invasive spatial activity recognition is a difficult task, complicated by variation in how the same activities are conducted and furthermore by noise introduced by video tracking procedures. In this paper we propose an algorithm based on dynamic time warping (DTW) as a viable method with which to quantify segmented spatial activity sequences from a video tracking system. DTW is a widely used technique for optimally aligning or warping temporal sequences through minimisation of the distance between their components. The proposed algorithm threshold DTW (TDTW) is capable of accurate spatial sequence distance quantification and is shown using a three class spatial data set to be more robust and accurate than DTW and the discrete hidden markov model (HMM). We also evaluate the application of a band dynamic programming (DP) constraint to TDTW in order to reduce extraneous warping between sequences and to reduce the computation complexity of the approach. Results show that application of a band DP constraint to TDTW improves runtime performance significantly, whilst still maintaining a high precision and recall.

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