• DocumentCode
    603067
  • Title

    Learning crowd behavior for event recognition

  • Author

    Cermeno, Eduardo ; Mallor, Silvana ; Siguenza, Juan Alberto

  • fYear
    2013
  • fDate
    15-17 Jan. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a new method for event recognition based on machine learning techniques. One machine is trained per kind of event using color, texture and shape features. Testing is performed on the PETS 2009 dataset. We evaluate accuracy of our automatic system with six different kind of events and then compare the results with human classification.
  • Keywords
    image colour analysis; image recognition; image texture; learning (artificial intelligence); visual databases; PETS 2009 dataset; automatic system; color features; crowd behavior learning; event recognition; human classification; machine learning techniques; shape features; texture features; Dispersion; Feature extraction; Legged locomotion; Merging; Positron emission tomography; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Evaluation of Tracking and Surveillance (PETS), 2013 IEEE International Workshop on
  • Conference_Location
    Clearwater, FL
  • ISSN
    2157-491X
  • Print_ISBN
    978-1-4673-5649-7
  • Electronic_ISBN
    2157-491X
  • Type

    conf

  • DOI
    10.1109/PETS.2013.6523788
  • Filename
    6523788
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=603067