• DocumentCode
    3235940
  • Title

    Evolutionary mechanism and implemention for recognition of objects in dynamic vision

  • Author

    Sha, Sha ; Jianer, Chen ; Ling, Qin ; Sanding, Luo

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    178
  • Lastpage
    182
  • Abstract
    To improve the real-time and robustness of the dynamic visual recognition, this paper proposed a new mechanism and implementation techniques for evolutionary recognition, which is a perceptive--expressive interaction imitating the oil painting process. This mechanism can transform the oil painting process of continual observation, multi-level description, and repeated confirmation into the gradual maturity process of evolutionary objects driven by the force of evolution, as well as analyze the evolution process of evolutionary objects. Also, this paper put forward an evolution model of the evolutionary object as well as three kinds of evolution driving force, discussed the key technologies of evolutionary recognition, verified the feasibility, as well as raised questions that need to be resolved through the experiment of road environmental objective recognition.
  • Keywords
    computer vision; evolutionary computation; object recognition; dynamic vision; dynamic visual recognition; evolutionary mechanism; gradual maturity process; object recognition; oil painting process; perceptive-expressive interaction; road environmental objective recognition; Biological system modeling; Evolution (biology); Evolutionary computation; Genetics; Image recognition; Object oriented modeling; Object recognition; Painting; Petroleum; Roads; computer vision; evolution machenisim; evolutionary vision process; multi-level classes; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228497
  • Filename
    5228497