Object categorization using co-occurrence and spatial relationship with human interaction

The human interaction based framework for manipulable object categorization is proposed in this paper. In the proposed framework, co-occurrence and spatial relationship based features are developed to improve the categorization problem of the objects with high intra-class variation, deformable objec...

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Main Authors: Prapatsorn Wisuttirungseurai, Aram Kawewong, Karn Patanukhom
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904498470&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53391
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-533912018-09-04T09:48:37Z Object categorization using co-occurrence and spatial relationship with human interaction Prapatsorn Wisuttirungseurai Aram Kawewong Karn Patanukhom Computer Science The human interaction based framework for manipulable object categorization is proposed in this paper. In the proposed framework, co-occurrence and spatial relationship based features are developed to improve the categorization problem of the objects with high intra-class variation, deformable objects or the objects that are occluded. The descriptor in this framework is based on a co-occurrence of objects and hand poses, a relative position between objects and face, an object motion, and an object appearance. For co-occurrence based features, hand pose prototypes are generated by using K-means clustering. The co- occurrence vectors between objects and hand poses are observed from image frames and used as features. For spatial relationship based features, the histogram of relative positions between object and face and histogram of object motion vectors are applied. The evaluation is performed on six classes of objects in 180 videos. The proposed framework can improve the recognition rate by 30.1% in comparison with the object appearance baseline. © 2014 IEEE. 2018-09-04T09:48:37Z 2018-09-04T09:48:37Z 2014-01-01 Conference Proceeding 2-s2.0-84904498470 10.1109/ICISA.2014.6847439 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904498470&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53391
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Prapatsorn Wisuttirungseurai
Aram Kawewong
Karn Patanukhom
Object categorization using co-occurrence and spatial relationship with human interaction
description The human interaction based framework for manipulable object categorization is proposed in this paper. In the proposed framework, co-occurrence and spatial relationship based features are developed to improve the categorization problem of the objects with high intra-class variation, deformable objects or the objects that are occluded. The descriptor in this framework is based on a co-occurrence of objects and hand poses, a relative position between objects and face, an object motion, and an object appearance. For co-occurrence based features, hand pose prototypes are generated by using K-means clustering. The co- occurrence vectors between objects and hand poses are observed from image frames and used as features. For spatial relationship based features, the histogram of relative positions between object and face and histogram of object motion vectors are applied. The evaluation is performed on six classes of objects in 180 videos. The proposed framework can improve the recognition rate by 30.1% in comparison with the object appearance baseline. © 2014 IEEE.
format Conference Proceeding
author Prapatsorn Wisuttirungseurai
Aram Kawewong
Karn Patanukhom
author_facet Prapatsorn Wisuttirungseurai
Aram Kawewong
Karn Patanukhom
author_sort Prapatsorn Wisuttirungseurai
title Object categorization using co-occurrence and spatial relationship with human interaction
title_short Object categorization using co-occurrence and spatial relationship with human interaction
title_full Object categorization using co-occurrence and spatial relationship with human interaction
title_fullStr Object categorization using co-occurrence and spatial relationship with human interaction
title_full_unstemmed Object categorization using co-occurrence and spatial relationship with human interaction
title_sort object categorization using co-occurrence and spatial relationship with human interaction
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904498470&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53391
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