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. © 2010 Springer-Verlag.
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CITATION STYLE
Crespo, R., De Diego, I. M., Conde, C., & Cabello, E. (2010). Detection and tracking of driver’s hands in real time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6419 LNCS, pp. 212–219). https://doi.org/10.1007/978-3-642-16687-7_31
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