• DocumentCode
    597870
  • Title

    Action based video summarization for convenience stores

  • Author

    Tu, Peter ; Dashan Gao ; Ting Yu ; Yi Yao

  • Author_Institution
    Gen. Electr., USA
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    Given the size and congestion associated with a standard convenience store, it is possible to achieve automated site-wide tracking for each customer via a network of in-store video cameras. For the purposes of reducing customer related shrinkage (theft), it may be advantageous to produce summary videos of the activities associated with each customer. As the customer approaches an exit or checkout station, the cashier could quickly review the associated summery video for the purposes of determining whether or not a theft has taken place. Such a summery video would be automatically generated from clips produced by a network of in-store cameras. The value of the summery videos can be determined based on their brevity and the cashier´s ability to detect the presence or absence of a theft event. To this end we propose that a site-wide tracking system coupled with a clip nomination process that is based on a set of action saliency measures be used to produce the desired summery videos.
  • Keywords
    image motion analysis; object tracking; retailing; video cameras; video signal processing; action based video summarization; action saliency measure; clip nomination process; convenience store; customer related shrinkage; customer theft; in-store video camera; site-wide customer tracking; site-wide tracking system; theft event; Cameras; Feature extraction; Grasping; Humans; Observers; Surveillance; Training; Action Recognition; Image Understanding; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6466791
  • Filename
    6466791