High Occupancy Vehicle Detection

  • Authors:
  • Alberto J. Pérez-Jiménez;Jose Luis Guardiola;Juan Carlos Pérez-Cortés

  • Affiliations:
  • Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, Valencia, Spain 46022;Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, Valencia, Spain 46022;Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, Valencia, Spain 46022

  • Venue:
  • SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
  • Year:
  • 2008

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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.