Tracking a driver's hands using computer vision

The 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...

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Bibliographic Details
Main Authors: McAllister, G., McKenna, S.J., Ricketts, I.W.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Cameras
Computer displays
Computer vision
Control systems
Fingers
Machine vision
Solid modeling
Vehicles
Wheels
Citations: Items that cite this one
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Summary:The 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.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2000.886048