Tracking a driver's hands using computer vision

TY - CHAP

T1 - Tracking a driver's hands using computer vision

AU - McAllister, G.

AU - McKenna, S.J.

AU - Ricketts, I.W.

PY - 2000/1/1

Y1 - 2000/1/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0034497381

U2 - 10.1109/ICSMC.2000.886048

DO - 10.1109/ICSMC.2000.886048

M3 - Chapter

AN - SCOPUS:0034497381

SN - 0780365836

SP - 1388

EP - 1393

BT - Proceedings of the 2000 IEEE International Conference on Systems, Man, and Cybernetics

PB - IEEE Computer Society

T2 - 2000 IEEE International Conference on Systems, Man, and Cybernetics

Y2 - 8 October 2000 through 11 October 2000

ER -