Title :
LIDA-ATR for object detection in Automatic Target Recognition system
Author :
Khaefi, Muhammad Rizal ; Dong-Seong Kim
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;
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
DOI :
10.1109/ELINFOCOM.2014.6914414