Multi-sensor People Counting

  • Daniel Hernández-Sosa
  • Modesto Castrillón-Santana
  • Javier Lorenzo-Navarro
Conference paper

DOI: 10.1007/978-3-642-21257-4_40

Volume 6669 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Hernández-Sosa D., Castrillón-Santana M., Lorenzo-Navarro J. (2011) Multi-sensor People Counting. In: Vitrià J., Sanches J.M., Hernández M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg

Abstract

An accurate estimation of the number of people entering / leaving a controlled area is an interesting capability for automatic surveillance systems. Potential applications where this technology can be applied include those related to security, safety, energy saving or fraud control. In this paper we present a novel configuration of a multi-sensor system combining both visual and range data specially suited for troublesome scenarios such as public transportation. The approach applies probabilistic estimation filters on raw sensor data to create intermediate level hypothesis that are later fused using a certainty-based integration stage. Promising results have been obtained in several tests performed on a realistic test bed scenario under variable lightning conditions.

Keywords

people counting EKF MHI laser sensors 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Daniel Hernández-Sosa
    • 1
  • Modesto Castrillón-Santana
    • 1
  • Javier Lorenzo-Navarro
    • 1
  1. 1.SIANIUniversidad de Las Palmas de Gran Canaria