• DocumentCode
    1619776
  • Title

    Visual target tracking and extraction from a sequence of images

  • Author

    Bourbakis, N. ; Andel, R. ; Hall, Asha

  • Author_Institution
    Center for Intelligent Syst., Binghamton Univ., NY, USA
  • fYear
    1997
  • Firstpage
    384
  • Lastpage
    391
  • Abstract
    Presents a methodology for visually tracking and extracting targets from a sequence of images (video). The methodology presented in this paper consists of a combination of algorithms, such as heuristic segmentation, edge detection, thinning, region growing, fractals, feature extraction, graphs with attributes, etc., appropriately selected according to the existing situation, such as moving target/still camera, still target/moving camera and moving target/moving camera. The new contribution of this paper is the combination of algorithms in a human-like feedback geometric approach for processing low-resolution information from consecutive images. Simulated results of the methodology are presented
  • Keywords
    computational geometry; edge detection; feature extraction; feedback; fractals; graph theory; heuristic programming; image segmentation; image sequences; motion estimation; object recognition; target tracking; attributes; edge detection; feature extraction; fractals; graphs; heuristic segmentation; human-like feedback geometric approach; image sequence; low-resolution information processing; moving camera; moving target; region growing; simulation; still camera; still target; target extraction; thinning; video sequence; visual target tracking; Cameras; Clustering algorithms; Data mining; Feature extraction; Fractals; Humans; Image resolution; Neural networks; Radar scattering; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
  • Conference_Location
    Newport Beach, CA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-8203-5
  • Type

    conf

  • DOI
    10.1109/TAI.1997.632279
  • Filename
    632279