eprintid: 875
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/08/75
datestamp: 2023-11-09 15:49:01
lastmod: 2023-11-09 15:49:01
status_changed: 2023-11-09 15:38:38
type: conference_item
metadata_visibility: show
creators_name: Ali, S.F.
creators_name: Jaafar, J.
creators_name: Malik, A.S.
title: Proposed technique for aircraft recognition in Intelligent Video Automatic Target Recognition System (IVATRs)
ispublished: pub
keywords: CBIR; Early Warning System; Feature extraction techniques; In-field; Intelligent video; Latest technology; Military surveillance; Segmentation; Silhoutte; Traditional techniques; WEFT; World war I, Aircraft; Automatic target recognition; Computer applications; Detectors; Industrial electronics; Military operations; Security systems, Feature extraction
note: cited By 4; Conference of 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 ; Conference Date: 5 December 2010 Through 7 December 2010; Conference Code:84532
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. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953862294&doi=10.1109%2fICCAIE.2010.5735070&partnerID=40&md5=1b28b3fdeddb81b492a4569925d11ba0
id_number: 10.1109/ICCAIE.2010.5735070
full_text_status: none
publication: ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
place_of_pub: Kuala Lumpur
pagerange: 174-179
refereed: TRUE
isbn: 9781424490554
citation:   Ali, S.F. and Jaafar, J. and Malik, A.S.  (2010) Proposed technique for aircraft recognition in Intelligent Video Automatic Target Recognition System (IVATRs).  In: UNSPECIFIED.