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Autonomous target detection using segmented correlation method and tracking via mean shift algorithm

An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the seco...

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Bibliographic Details
Main Authors: Munawar, A., Kamal, Khurram, Qaisar, A., Ejaz, A.
Format: Book Section
Published: IEEE Explorer 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/28919/
http://dx.doi.org/10.1109/ICOM.2011.5937148
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spelling my.utm.289192017-02-04T08:36:58Z http://eprints.utm.my/id/eprint/28919/ Autonomous target detection using segmented correlation method and tracking via mean shift algorithm Munawar, A. Kamal, Khurram Qaisar, A. Ejaz, A. TK Electrical engineering. Electronics Nuclear engineering An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the second mechanical pan tilt to lock the target and follow it efficiently and accurately. A hybrid algorithm is derived that is a combination of an intruder identification and localization technique derived from the normalized cross correlation method. Spatial and dimensional parameters of the target are autonomously retrieved from segmented correlation method, which are then used as the input parameters for the mean shift algorithm. IEEE Explorer 2011 Book Section PeerReviewed Munawar, A. and Kamal, Khurram and Qaisar, A. and Ejaz, A. (2011) Autonomous target detection using segmented correlation method and tracking via mean shift algorithm. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development, ICOM'11 - Conference Proceedings. IEEE Explorer, pp. 1-6. ISBN 978-1-61284-435-0 http://dx.doi.org/10.1109/ICOM.2011.5937148 10.1109/ICOM.2011.5937148
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Munawar, A.
Kamal, Khurram
Qaisar, A.
Ejaz, A.
Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
description An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the second mechanical pan tilt to lock the target and follow it efficiently and accurately. A hybrid algorithm is derived that is a combination of an intruder identification and localization technique derived from the normalized cross correlation method. Spatial and dimensional parameters of the target are autonomously retrieved from segmented correlation method, which are then used as the input parameters for the mean shift algorithm.
format Book Section
author Munawar, A.
Kamal, Khurram
Qaisar, A.
Ejaz, A.
author_facet Munawar, A.
Kamal, Khurram
Qaisar, A.
Ejaz, A.
author_sort Munawar, A.
title Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
title_short Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
title_full Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
title_fullStr Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
title_full_unstemmed Autonomous target detection using segmented correlation method and tracking via mean shift algorithm
title_sort autonomous target detection using segmented correlation method and tracking via mean shift algorithm
publisher IEEE Explorer
publishDate 2011
url http://eprints.utm.my/id/eprint/28919/
http://dx.doi.org/10.1109/ICOM.2011.5937148
_version_ 1643648190668341248
score 13.209306

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