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Abstract

High occupancy vehicles lanes (HOV) are highway lanes usually reserved to vehicles carrying at least two persons. They are designed to help move more people though congested areas. In this context, automatic passenger counting systems could be useful to grant access to or to control vehicles in those lanes.

In this work, we propose a real-time passenger detection system based on the analysis of visual images. Each person is detected by mixing the information from different types of classifiers in order to make the detection process faster and more robust.

Keywords

False Detection Safety Belt Congested Area Highway Lane Rapid Object Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alberto J. Pérez-Jiménez
    • 1
  • Jose Luis Guardiola
    • 1
  • Juan Carlos Pérez-Cortés
    • 1
  1. 1.Instituto Tecnológico de InformáticaUniversidad Politécnica de ValenciaValenciaSpain

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