A comparison of skin history and trajectory-based representation schemes for the recognition of user-specified gestures

Stephen J. McKenna, Kenny Morrison

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)

    Abstract

    Gesture recognition error rates and the qualitative nature of the errors made are heavily influenced by the choice of visual representation. A direct empirical comparison of two contrasting approaches, namely trajectory- and history-based representation, is presented. Skin colour is used as a common visual cue and recognition is based on hidden Markov models, moment features and normalised template matching. Two novel representation schemes are proposed and evaluated: (i) skin history images and (ii) composite history images which represent occluded motion. Results are reported for an application in which able-bodied and disabled subjects specify their own gesture vocabularies.
    Original languageEnglish
    Pages (from-to)999-1009
    Number of pages11
    JournalPattern Recognition
    Volume37
    Issue number5
    DOIs
    Publication statusPublished - May 2004

    Keywords

    • Gesture recognition
    • Skin history images
    • Composite history images
    • Moment features
    • Hidden Markov models

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