Texture-Based Crowd Detection and Localisation

  • Stefano GhidoniEmail author
  • Grzegorz Cielniak
  • Emanuele Menegatti
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 193)


This paper presents a crowd detection system based on texture analysis. The state-of-the-art techniques based on co-occurrence matrix have been revisited and a novel set of features proposed. These features provide a richer description of the co-occurrence matrix, and can be exploited to obtain stronger classification results, especially when smaller portions of the image are considered. This is extremely useful for crowd localisation: acquired images are divided into smaller regions in order to perform a classification on each one. A thorough evaluation of the proposed system on a real world data set is also presented: this validates the improvements in reliability of the crowd detection and localisation.


Crowd detection intelligent video surveillance 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Stefano Ghidoni
    • 1
    Email author
  • Grzegorz Cielniak
    • 2
  • Emanuele Menegatti
    • 1
  1. 1.Intelligent Autonomous Systems Laboratory (IAS-Lab) Department of Information EngineeringThe University of PadovaPadovaItaly
  2. 2.School of Computer ScienceUniversity of LincolnBrayford PoolUK

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