An experimental comparison of trajectory-based and history-based representation for gesture recognition

Kenny Morrison, Stephen J. McKenna

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)


    Automatic visual recognition of gestures can be performed using either a trajectory-based or a history-based representation. The former characterises the gesture using 2D trajectories of the hands. The latter summarises image sequences using values computed from individual pixel histories. A direct experimental comparison of these two approaches is presented using skin colour as a common visual cue and recognition methods based on hidden Markov models, moment features and normalised template matching. Skin history images are proposed as a useful history-based representation. Results are reported on a database of sixty gestures and the relative advantages and disadvantages of the different methods are highlighted.
    Original languageEnglish
    Title of host publicationGesture-Based Communication in Human-Computer Interaction
    Subtitle of host publication5th International Gesture Workshop, GW 2003, Genova, Italy, April 15-17, 2003, Selected Revised Papers
    EditorsAntonio Camurri, Gualtiero Volpe
    Place of PublicationBerlin
    Number of pages12
    ISBN (Electronic)9783540245988
    ISBN (Print)9783540210726
    Publication statusPublished - 2004
    Event5th International Gesture Workshop - Genova, Italy
    Duration: 15 Apr 200317 Apr 2003

    Publication series

    NameLecture notes in computer science


    Workshop5th International Gesture Workshop
    Abbreviated titleGW 2003


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