Human and dog movement recognition using fuzzy inference system with automatically generated membership functions

© 2017 IEEE. In this paper, the simple movement (walking dog, crawling human, and walking human) recognition system using the Mamdani fuzzy inference system is introduced. The membership functions of each input feature are generated automatically without experts' prior knowledges. The system pr...

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Main Authors: Chukit Ruanpeng, Sansanee Auephanwiriyakul, Nipon Theera-Umpon
Format: Conference Proceeding
Published: 2018
Subjects:
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/43678
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-436782018-04-25T07:21:18Z Human and dog movement recognition using fuzzy inference system with automatically generated membership functions Chukit Ruanpeng Sansanee Auephanwiriyakul Nipon Theera-Umpon Computer Science Mathematics Agricultural and Biological Sciences © 2017 IEEE. In this paper, the simple movement (walking dog, crawling human, and walking human) recognition system using the Mamdani fuzzy inference system is introduced. The membership functions of each input feature are generated automatically without experts' prior knowledges. The system produces a very high recognition rate, i.e., 93.97%, on the validation set of the cross validation. However, there are some misclassifications between walking dog and crawling human classes. The misclassifications are mainly from the incomplete segmentation of the objects of interest. 2018-01-24T03:51:59Z 2018-01-24T03:51:59Z 2017-08-23 Conference Proceeding 10987584 2-s2.0-85030152769 10.1109/FUZZ-IEEE.2017.8015771 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030152769&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43678
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Mathematics
Agricultural and Biological Sciences
spellingShingle Computer Science
Mathematics
Agricultural and Biological Sciences
Chukit Ruanpeng
Sansanee Auephanwiriyakul
Nipon Theera-Umpon
Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
description © 2017 IEEE. In this paper, the simple movement (walking dog, crawling human, and walking human) recognition system using the Mamdani fuzzy inference system is introduced. The membership functions of each input feature are generated automatically without experts' prior knowledges. The system produces a very high recognition rate, i.e., 93.97%, on the validation set of the cross validation. However, there are some misclassifications between walking dog and crawling human classes. The misclassifications are mainly from the incomplete segmentation of the objects of interest.
format Conference Proceeding
author Chukit Ruanpeng
Sansanee Auephanwiriyakul
Nipon Theera-Umpon
author_facet Chukit Ruanpeng
Sansanee Auephanwiriyakul
Nipon Theera-Umpon
author_sort Chukit Ruanpeng
title Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
title_short Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
title_full Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
title_fullStr Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
title_full_unstemmed Human and dog movement recognition using fuzzy inference system with automatically generated membership functions
title_sort human and dog movement recognition using fuzzy inference system with automatically generated membership functions
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030152769&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43678
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