• DocumentCode
    2777493
  • Title

    Proposed technique for aircraft recognition in Intelligent Video Automatic Target Recognition System (IVATRs)

  • Author

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

  • Author_Institution
    Comput. & Inf. Sci., Univ. Teknol. Petronas (UTP), Tronoh, Malaysia
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    174
  • Lastpage
    179
  • Abstract
    The main objective of this research is to automate WEFT (Wings, Engine, Fuselage, Tail) technique as input to aid VATR (Visual Automatic Target Recognition) system. VATR systems are relatively mobile in nature and easy to use in field. Earlier aircrafts have been observed using traditional binocular techniques, which are still in use along with some early warning system. The prime advantage to use VATR is to make the system more flexible and portable. It also helps to automate traditional technique with latest technology. Many techniques, currently in use, to recognize aircrafts are the same as used in World War I, and IL Although these traditional techniques are good but have limited scope in terms of its applicability and generality. WEFT is well known technique for recognizing the four major parameters of shape to recognize an aircraft. It can be applied using video camcorders to facilitate military surveillance. This paper is discussing some of the important shape feature extraction using WEFT techniques. These extracted features become an input to our Intelligent Video Automatic Target Recognition System (IVATRs) for further processing in feature extraction techniques.
  • Keywords
    aerospace components; aerospace computing; aircraft; object detection; video signal processing; video surveillance; VATR; WEFT technique; WEFT techniques; aircraft recognition; binocular techniques; early warning system; engine; feature extraction technique; fuselage; intelligent video automatic target recognition system; military surveillance; tail; visual automatic target recognition system; wings; Aircraft; Aircraft propulsion; Engines; Feature extraction; Image segmentation; Nose; Shape; CBIR; Feature Extraction; Segmentation; Silhoutte; WEFT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-9054-7
  • Type

    conf

  • DOI
    10.1109/ICCAIE.2010.5735070
  • Filename
    5735070