IR Pedestrian Detection for Advanced Driver Assistance Systems

  • M. Bertozzi
  • A. Broggi
  • M. Carletti
  • A. Fascioli
  • T. Graf
  • P. Grisleri
  • M. Meinecke
Conference paper

DOI: 10.1007/978-3-540-45243-0_74

Volume 2781 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Bertozzi M. et al. (2003) IR Pedestrian Detection for Advanced Driver Assistance Systems. In: Michaelis B., Krell G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg

Abstract

This paper describes a system for pedestrian detection in infrared images implemented and tested on an experimental vehicle. A specific stabilization procedure is applied after image acquisition and before processing to cope with vehicle movements affecting the camera calibration. The localization of pedestrians is based on the search for warm symmetrical objects with specific size and aspect ratio. A set of filters is used to reduce false detections. The final validation process relies on the human shape’s morphological characteristics.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • M. Bertozzi
    • 1
  • A. Broggi
    • 1
  • M. Carletti
    • 1
  • A. Fascioli
    • 1
  • T. Graf
    • 2
  • P. Grisleri
    • 1
  • M. Meinecke
    • 2
  1. 1.Dipartimento di Ingegneria dell’InformazioneUniversità di ParmaParmaItaly
  2. 2.Volkswagen AGElectronic ResearchWolfsburgGermany