• DocumentCode
    637266
  • Title

    Automatic detection of the direction and speed of moving objects in the video

  • Author

    Smirg, Ondrej ; Smekal, Zdenek ; Dutta, Malay Kishore ; Kakani, Bhavin

  • Author_Institution
    Dept. of Telecommun., Brno Univ. of Technol., Brno, Czech Republic
  • fYear
    2013
  • fDate
    8-10 Aug. 2013
  • Firstpage
    86
  • Lastpage
    90
  • Abstract
    This article deals with methods for automatic detection of moving objects in non-standard situations in secure areas, such as nuclear power plants, storage of hazardous materials, etc. Speed and direction, respectively, slow motion to a stop is detected for the monitored object. Specifically: the automatic detection of movement in the opposite direction than normal, passage or move too fast, and stopping or blocking passages. The emphasis is put on real-time processing and on design effective and efficient methods. A new approach is a combination and modification of optical flow techniques and Mixture Of Gaussians method (MOG).
  • Keywords
    Gaussian processes; image sequences; object detection; real-time systems; velocity; video signal processing; MOG; automatic detection; direction; mixture of Gaussians method; moving objects; nonstandard situations; optical flow techniques; real-time processing; speed; video; Adaptation models; Adaptive optics; Computer vision; Image motion analysis; Optical distortion; Optical imaging; Vectors; Farneback; Lucas-Kanade; Mixture of Gaussian; Movement detection; Optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2013 Sixth International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-0190-6
  • Type

    conf

  • DOI
    10.1109/IC3.2013.6612167
  • Filename
    6612167