• DocumentCode
    2068136
  • Title

    Commentary Paper 1 on "A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors"

  • Author

    Lipton, Alan

  • Author_Institution
    Object Video, Reston, VA, USA
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    116
  • Lastpage
    116
  • Abstract
    This paper presents a very good approach for tracking through occlusion by applying a probabilistic model to tracking features on an object. The authors present that the method works well even through partial occlusions.
  • Keywords
    computer vision; object detection; computer vision; features tracking; model-based object tracking; undecimated wavelet packet descriptors; Bayesian methods; Filtering; Pain; Particle tracking; Surveillance; Target tracking; Technological innovation; Videoconference; Voting; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-0-7695-3341-4
  • Electronic_ISBN
    978-0-7695-3422-0
  • Type

    conf

  • DOI
    10.1109/AVSS.2008.44
  • Filename
    4730395
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2068136