Object distance and size measurement using stereo vision system

Object size identification is very useful in building systems or applications especially in autonomous system navigation. Many recent works have started to use multiple vision sensors or cameras for different type of application such as 3D image constructions, occlusion detection and etc. Multiple c...

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Main Authors: Mohd Mustafah, Yasir, Azman, Amelia Wong, Ani, Mohd Hanafi
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2013
Subjects:
Online Access:http://irep.iium.edu.my/28363/1/rp018_ICMST2012_Vol.3-015-A00018.pdf
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author Mohd Mustafah, Yasir
Azman, Amelia Wong
Ani, Mohd Hanafi
author_facet Mohd Mustafah, Yasir
Azman, Amelia Wong
Ani, Mohd Hanafi
author_sort Mohd Mustafah, Yasir
collection IIUM
description Object size identification is very useful in building systems or applications especially in autonomous system navigation. Many recent works have started to use multiple vision sensors or cameras for different type of application such as 3D image constructions, occlusion detection and etc. Multiple cameras system has becoming more popular since cameras are now very cheap and easy to deploy and utilize. The proposed measurement system consists of object detection on the stereo images and blob extraction and distance and size calculation and object identification. The system also employs a fast algorithm so that the measurement can be done in real-time. The object measurement using stereo camera is better than object detection using a single camera that was proposed in many previous research works. It is much easier to calibrate and can produce a more accurate results.
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spelling oai:generic.eprints.org:283632013-04-04T04:07:27Z http://irep.iium.edu.my/28363/ Object distance and size measurement using stereo vision system Mohd Mustafah, Yasir Azman, Amelia Wong Ani, Mohd Hanafi T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television Object size identification is very useful in building systems or applications especially in autonomous system navigation. Many recent works have started to use multiple vision sensors or cameras for different type of application such as 3D image constructions, occlusion detection and etc. Multiple cameras system has becoming more popular since cameras are now very cheap and easy to deploy and utilize. The proposed measurement system consists of object detection on the stereo images and blob extraction and distance and size calculation and object identification. The system also employs a fast algorithm so that the measurement can be done in real-time. The object measurement using stereo camera is better than object detection using a single camera that was proposed in many previous research works. It is much easier to calibrate and can produce a more accurate results. Trans Tech Publications, Switzerland 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28363/1/rp018_ICMST2012_Vol.3-015-A00018.pdf Mohd Mustafah, Yasir and Azman, Amelia Wong and Ani, Mohd Hanafi (2013) Object distance and size measurement using stereo vision system. Advanced Materials Research, 622/23. pp. 1373-1377. ISSN 1022-6680 http://www.scientific.net/AMR.622-623.1373 10.4028/www.scientific.net/AMR.622-623.1373
spellingShingle T Technology (General)
TK5101 Telecommunication. Including telegraphy, radio, radar, television
Mohd Mustafah, Yasir
Azman, Amelia Wong
Ani, Mohd Hanafi
Object distance and size measurement using stereo vision system
title Object distance and size measurement using stereo vision system
title_full Object distance and size measurement using stereo vision system
title_fullStr Object distance and size measurement using stereo vision system
title_full_unstemmed Object distance and size measurement using stereo vision system
title_short Object distance and size measurement using stereo vision system
title_sort object distance and size measurement using stereo vision system
topic T Technology (General)
TK5101 Telecommunication. Including telegraphy, radio, radar, television
url http://irep.iium.edu.my/28363/1/rp018_ICMST2012_Vol.3-015-A00018.pdf
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