Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices

© 2015 ICST. A new framework that uses internet-based images for detecting objects and estimating real world location of the objects via stereo images is proposed. This framework provides a self-learning ability for detecting desired objects in the scene without pre-prepared classifiers by harvestin...

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Main Authors: Supakit Fuangkaew, Karn Patanukhom
Format: Conference Proceeding
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/44510
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-445102018-04-25T07:51:26Z Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices Supakit Fuangkaew Karn Patanukhom Agricultural and Biological Sciences © 2015 ICST. A new framework that uses internet-based images for detecting objects and estimating real world location of the objects via stereo images is proposed. This framework provides a self-learning ability for detecting desired objects in the scene without pre-prepared classifiers by harvesting sample images of the objects from the internet. Histogram and co-occurrence matrices of edge orientation are used as features. The objects are recognized based on likelihood scores and distance in the feature space between every window in the scene and k-nearest prototypes. A local feature matching is used to match the feature points in stereo pair. Disparities from stereo images are used to estimate real world distance and direction of the objects. The experiments on 120 pairs of stereo images from three object classes show the satisfying results in comparison to baseline methods. 2018-01-24T04:43:56Z 2018-01-24T04:43:56Z 2015-01-01 Conference Proceeding 2-s2.0-84943278953 10.4108/icst.iniscom.2015.258352 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943278953&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44510
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Supakit Fuangkaew
Karn Patanukhom
Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
description © 2015 ICST. A new framework that uses internet-based images for detecting objects and estimating real world location of the objects via stereo images is proposed. This framework provides a self-learning ability for detecting desired objects in the scene without pre-prepared classifiers by harvesting sample images of the objects from the internet. Histogram and co-occurrence matrices of edge orientation are used as features. The objects are recognized based on likelihood scores and distance in the feature space between every window in the scene and k-nearest prototypes. A local feature matching is used to match the feature points in stereo pair. Disparities from stereo images are used to estimate real world distance and direction of the objects. The experiments on 120 pairs of stereo images from three object classes show the satisfying results in comparison to baseline methods.
format Conference Proceeding
author Supakit Fuangkaew
Karn Patanukhom
author_facet Supakit Fuangkaew
Karn Patanukhom
author_sort Supakit Fuangkaew
title Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
title_short Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
title_full Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
title_fullStr Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
title_full_unstemmed Stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
title_sort stereo image based object localization framework for visually impaired people using edge orientation histogram and co-occurrence matrices
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943278953&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44510
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