MLESAC tracking with 2D revolute-prismatic articulated models

G. McAllister, S.J. McKenna, I.W. Ricketts

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

    4 Citations (Scopus)

    Abstract

    A model for tracking articulated objects is proposed using a novel 2D revolute-prismatic joint. An extension of the RANSAC and MLESAC algorithms incorporating feature weights is used to perform robust tracking. The models are suitable for tracking certain human body structures. Limbs are modelled as constrained planar patches. A patch can rotate about a joint point that is displaced relative to the previous patch. A scenario in which the forearm is tracked is used to illustrate the method.
    Original languageEnglish
    Title of host publicationProceedings. 16th International Conference on Pattern Recognition, 2002
    EditorsR. Kasturi, D. Laurendeau, C. Suen
    Place of PublicationCalifornia
    PublisherIEEE Computer Society
    Pages725-728
    Number of pages4
    Volume2
    ISBN (Print)076951695X
    DOIs
    Publication statusPublished - Aug 2002
    Event16th International Conference on Pattern Recognition - Quebec, Canada
    Duration: 11 Aug 200215 Aug 2002
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8091

    Conference

    Conference16th International Conference on Pattern Recognition
    CountryCanada
    CityQuebec
    Period11/08/0215/08/02
    Internet address

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