• DocumentCode
    3105307
  • Title

    The research on image mosaics for intelligent video surveillance

  • Author

    Ping, Yang ; Zheng, Mao

  • Author_Institution
    Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    18-19 Oct. 2010
  • Abstract
    This paper concerns the problem of the wide filed-of-view on intelligent video surveillance system and presents an image mosaics solution based on scale invariant feature transform (SIFT) algorithm to get the wider view. Image mosaics contain mainly two parts: image registration and image fusion. The SIFT algorithm is improved to meet the requirements of the intelligent video surveillance system, and the SIFT feature points are extracted efficiently for image registration in this paper.
  • Keywords
    computer vision; feature extraction; image fusion; image segmentation; video surveillance; image fusion; image mosaicing; image registration; intelligent video surveillance; scale invariant feature transform; Educational institutions; Graphics processing unit; Image recognition; Object recognition; SIFT; image fusion; image mosaics; image registration; intelligent video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking and Automation (ICINA), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8104-0
  • Electronic_ISBN
    978-1-4244-8106-4
  • Type

    conf

  • DOI
    10.1109/ICINA.2010.5636784
  • Filename
    5636784
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3105307