Detection and tracking of driver's hands in real time

Authors:
Raúl Crespo;Isaac Martín De Diego;Cristina Conde;Enrique Cabello
Affiliations:
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Mostoles, España;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Mostoles, España;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Mostoles, España;Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, Mostoles, España
Venue:
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Year:
2010

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Abstract

In this paper a complete driver's hands detection and tracking system suitable for working in real time conditions has been developed. The proposed system has been successfully tested in close-real world conditions in different scenarios on a very realistic and immersive cabin truck simulator. A database of 24 video sequences monitoring the driving task in different circuits, illumination conditions and video resolutions has been obtained. The hands detection rate and the computational times needed to process each frame are presented. The proposed system has proven to be high accurate and fast enough to work in real time conditions. In the future, the selected algorithm will be included as part of an automotive compliance embedded system placed in a real truck cabin.