• DocumentCode
    3111478
  • Title

    Proposed framework of Intelligent Video Automatic Target Recognition System (IVATRs)

  • Author

    Ali, Syed Faisal ; Jaffar, Jafreezal ; Malik, Aamir Saeed

  • Author_Institution
    Dept. of Comput. & Inormation Sci., Univ. Teknol. PETRONAS (UTP), Tronoh, Malaysia
  • fYear
    2011
  • fDate
    19-20 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we have introduce a novel hybrid method framework for feature extraction using genetic algorithms in Automatic Target Recognition. In this paper we have given a complete framework and approach for making the system of Automatic Target Recognition System we suggest the name of IVATRs (Intelligent Video Automatic Target Recognition System). This framework will be helpful for making a bridge between the theoretical models of AI techniques and their implementations with hardware. During this study our objective is to design a hybrid mechanism for the currently existing ATRs techniques. This study will also lead us to the result of predicting the behavior of targeted objects and future machines.
  • Keywords
    feature extraction; genetic algorithms; image recognition; video signal processing; AI techniques; IVATR; feature extraction; genetic algorithms; intelligent video automatic target recognition system; Artificial intelligence; Feature extraction; Genetic algorithms; Radar tracking; Shape; Target recognition; Target tracking; Artificial Neural Networks; Automatic Target Recognition System; Biologically Inspired Intelligent Systems; Genetic Algorithms; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    National Postgraduate Conference (NPC), 2011
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-1882-3
  • Type

    conf

  • DOI
    10.1109/NatPC.2011.6136315
  • Filename
    6136315