Tracking a driver's hands using computer vision

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

    Research output: Chapter in Book/Report/Conference proceedingChapter

    6 Citations (Scopus)


    This paper describes a computer vision system for tracking a driver's hands. The applications of such a system are discussed with particular attention given to the control of a novel vehicle systems interface. This interface is controlled by pointing at the required function on a display mounted behind the top of the steering wheel. The vision system must detect and track the driver's hands to allow efficient recovery of a search space in which to look for a pointing finger. Cameras mounted above the driver provide images of the steering wheel area. The scene is segmented using adaptive background and foreground models. A distance transform is applied to the resulting contours. A geometric model is fitted to the resulting distance map by maximising an objective function over the model parameters in a local search space defined by the output of a Kalman filter. The appearance-based model fitting process can resolve ambiguous situations such as the hands touching or crossing, and parting again. The system is demonstrated running at 10 Hz on a standard PC.
    Original languageEnglish
    Title of host publicationProceedings of the 2000 IEEE International Conference on Systems, Man, and Cybernetics
    PublisherIEEE Computer Society
    Number of pages6
    ISBN (Print)0780365836
    Publication statusPublished - 1 Jan 2000
    Event2000 IEEE International Conference on Systems, Man, and Cybernetics - Nashville, United States
    Duration: 8 Oct 200011 Oct 2000


    Conference2000 IEEE International Conference on Systems, Man, and Cybernetics
    Country/TerritoryUnited States


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