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
Link To Document