• DocumentCode
    260980
  • Title

    LIDA-ATR for object detection in Automatic Target Recognition system

  • Author

    Khaefi, Muhammad Rizal ; Dong-Seong Kim

  • fYear
    2014
  • fDate
    15-18 Jan. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper proposes scheme called LIDA-ATR (Learning Intelligent Distribution Agent-Automatic Target Recognition). The main idea of this scheme is LIDA integration with object detection feature for the development of automatic target recognition (ATR) system. By using human inspired cognitive systems of LIDA, LIDA-ATR offers autonomous and intelligent solutions that differ with another ATR approaches. Simulation result performed by using sample data represents equilateral and non-equilateral two dimensional objects. Simulation result shows that the proposed scheme has 91.67 % success ratio to detect sample data that placed less than 45 cm from the sensor.
  • Keywords
    cognitive systems; learning (artificial intelligence); object detection; object recognition; support vector machines; LIDA-ATR; automatic target recognition system; equilateral two dimensional objects; human inspired cognitive systems; learning intelligent distribution agent-automatic target recognition; nonequilateral two dimensional objects; object detection feature; Artificial intelligence; Computational modeling; Feature extraction; Object detection; Simulation; Support vector machines; Target recognition; LIDA-ATR; Object Detection; Recognition System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Information and Communications (ICEIC), 2014 International Conference on
  • Conference_Location
    Kota Kinabalu
  • Type

    conf

  • DOI
    10.1109/ELINFOCOM.2014.6914414
  • Filename
    6914414