Activity summarisation and fall detection in a supportive home environment

Hammadi Nait-Charif, Stephen J. McKenna

    Research output: Chapter in Book/Report/Conference proceedingChapter

    268 Citations (Scopus)

    Abstract

    Automatic semantic summarisation of human activity and detection of unusual inactivity are useful goals for a vision system operating in a supportive home environment. Learned models of spatial context are used in conjunction with a tracker to achieve these goals. The tracker uses a coarse ellipse model and a particle filter to cope with cluttered scenes with multiple sources of illumination. Summarisation in terms of semantic regions is demonstrated using acted scenes through automatic recovery of the instructions given to the actor. The use of 'unusual inactivity' detection as a cue for fall detection is also demonstrated.
    Original languageEnglish
    Title of host publicationProceedings - International Conference on Pattern Recognition
    Subtitle of host publicationProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004; Cambridge; United Kingdom; 23 August 2004 through 26 August 2004
    PublisherIEEE
    Pages323-326
    Number of pages4
    Volume4
    ISBN (Print)0769521282
    DOIs
    Publication statusPublished - 1 Jan 2004

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  • Cite this

    Nait-Charif, H., & McKenna, S. J. (2004). Activity summarisation and fall detection in a supportive home environment. In Proceedings - International Conference on Pattern Recognition: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004; Cambridge; United Kingdom; 23 August 2004 through 26 August 2004 (Vol. 4, pp. 323-326). IEEE. https://doi.org/10.1109/ICPR.2004.1333768