• DocumentCode
    1743869
  • Title

    Hierachical and integrated algorithms: comparison and applications in motion estimation and recognition

  • Author

    Huang, Kun ; Kumar, P.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    674
  • Abstract
    In this paper, we study several issues in motion estimation and object recognition. First, we compare the performance of two hierarchical and integrated methods in motion estimation. Second, we address the use of a simulated annealing algorithm for object recognition. This algorithm is then adapted for vehicle identification
  • Keywords
    image recognition; motion estimation; object recognition; simulated annealing; hierachical algorithms; integrated algorithms; motion estimation; object recognition; simulated annealing algorithm; vehicle identification; Annealing; Application software; Data mining; Data processing; Guidelines; Information processing; Machine vision; Motion estimation; Object recognition; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912844
  • Filename
    912844
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1743869