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Detection and Tracking of Driver’s Hands in Real Time

  • Raúl Crespo
  • Isaac Martín de Diego
  • Cristina Conde
  • Enrique Cabello
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6419)

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.

Keywords

Image Processing Real Time Tracking Automotive Application 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Raúl Crespo
    • 1
  • Isaac Martín de Diego
    • 1
  • Cristina Conde
    • 1
  • Enrique Cabello
    • 1
  1. 1.Face Recognition and Artificial Vision GroupUniversidad Rey Juan CarlosMostoles

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