• DocumentCode
    3039295
  • Title

    Group stochastic search for object detection and tracking

  • Author

    Evans, Murray ; Ferryman, James

  • Author_Institution
    Sch. of Syst. Eng., Reading Univ., UK
  • fYear
    2005
  • fDate
    15-16 Sept. 2005
  • Firstpage
    153
  • Lastpage
    158
  • Abstract
    A technique is presented for locating and tracking objects in cluttered environments. Agents are randomly distributed across the image, and subsequently grouped around targets. Each agent uses a weightless neural network and a histogram intersection technique to score its location. The system has been used to locate and track a head in 320×240 resolution video at up to 15 fps.
  • Keywords
    image resolution; neural nets; object detection; stochastic processes; tracking; video signal processing; group stochastic search; histogram intersection technique; neural network; object detection; object tracking; Cameras; Histograms; Layout; Magnetic heads; Motion detection; Neural networks; Object detection; Stochastic processes; Stochastic systems; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. IEEE Conference on
  • Print_ISBN
    0-7803-9385-6
  • Type

    conf

  • DOI
    10.1109/AVSS.2005.1577259
  • Filename
    1577259
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3039295