An analysis of object appearance information and context based classification

The purpose of categorizing objects is to identify and locate within an image, instances of an object category. It is a difficult task to identify objects in images when such images contain poor quality, occlusion, background clutter, or noise. It is more difficult when there are too many objects in...

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Main Authors: Katuka, Jatau Isaac, Mohammad, Dzulkifli, Saba, Tanzial, El-Affendi, Mohammad, Mohamed, Ahmed Sameh
Format: Article
Published: 3D Display Research Center 2014
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Online Access:http://eprints.utm.my/id/eprint/51765/
http://dx.doi.org/10.1007/s13319-014-0024-5
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spelling my.utm.517652018-10-22T02:53:15Z http://eprints.utm.my/id/eprint/51765/ An analysis of object appearance information and context based classification Katuka, Jatau Isaac Mohammad, Dzulkifli Saba, Tanzial El-Affendi, Mohammad Mohamed, Ahmed Sameh QA75 Electronic computers. Computer science The purpose of categorizing objects is to identify and locate within an image, instances of an object category. It is a difficult task to identify objects in images when such images contain poor quality, occlusion, background clutter, or noise. It is more difficult when there are too many objects in same scene (background). Most models for categorizing object exploit context information and appearance information from objects in order to enhance recognition accuracy. In the scene, interaction among objects (context information) can successfully help in removing ambiguity of appearance inputs during recognition task. Appearance information can help identify object classes successfully up to some level. The issue of integrating several kinds of contextual information in order to have a robust categorization of object is address in this paper. Various methods of exploiting contextual information for categorizing object are review 3D Display Research Center 2014 Article PeerReviewed Katuka, Jatau Isaac and Mohammad, Dzulkifli and Saba, Tanzial and El-Affendi, Mohammad and Mohamed, Ahmed Sameh (2014) An analysis of object appearance information and context based classification. 3D Research, 5 (3). ISSN 2092-6731 http://dx.doi.org/10.1007/s13319-014-0024-5
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 QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Katuka, Jatau Isaac
Mohammad, Dzulkifli
Saba, Tanzial
El-Affendi, Mohammad
Mohamed, Ahmed Sameh
An analysis of object appearance information and context based classification
description The purpose of categorizing objects is to identify and locate within an image, instances of an object category. It is a difficult task to identify objects in images when such images contain poor quality, occlusion, background clutter, or noise. It is more difficult when there are too many objects in same scene (background). Most models for categorizing object exploit context information and appearance information from objects in order to enhance recognition accuracy. In the scene, interaction among objects (context information) can successfully help in removing ambiguity of appearance inputs during recognition task. Appearance information can help identify object classes successfully up to some level. The issue of integrating several kinds of contextual information in order to have a robust categorization of object is address in this paper. Various methods of exploiting contextual information for categorizing object are review
format Article
author Katuka, Jatau Isaac
Mohammad, Dzulkifli
Saba, Tanzial
El-Affendi, Mohammad
Mohamed, Ahmed Sameh
author_facet Katuka, Jatau Isaac
Mohammad, Dzulkifli
Saba, Tanzial
El-Affendi, Mohammad
Mohamed, Ahmed Sameh
author_sort Katuka, Jatau Isaac
title An analysis of object appearance information and context based classification
title_short An analysis of object appearance information and context based classification
title_full An analysis of object appearance information and context based classification
title_fullStr An analysis of object appearance information and context based classification
title_full_unstemmed An analysis of object appearance information and context based classification
title_sort analysis of object appearance information and context based classification
publisher 3D Display Research Center
publishDate 2014
url http://eprints.utm.my/id/eprint/51765/
http://dx.doi.org/10.1007/s13319-014-0024-5
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score 13.211869