Erratum: Adaptive boosting with SVM classifier for moving vehicle classification
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2014
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my.unimap-322082014-02-28T01:21:34Z Erratum: Adaptive boosting with SVM classifier for moving vehicle classification Norasmadi, Abdul Rahim Pandian, Paulraj Murugesa, Prof. Dr. Abd Hamid, Adom, Prof. Dr. norasmadi@unimap.edu.my paul@unimap.edu.my abdhamid@unimap.edu.my Moving vehicle Adaptive boosting Support vector machine One-third-octave Link to publisher's homepage at http://www.elsevier.com/ Profoundly hearing impaired community (PHIC) cannot moderate wisely an acoustic noise ema- nated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. Therefore, the PHIC encounter risky situation while they are in outdoor. In this paper, a simple system has been proposed to identify the type and distance of a moving vehicle using adaptive boosting (AdaBoost) ensemble method. One-third-octave filter band approach has been used for extracting the significant features from the noise emanated by the moving vehicle. The extracted features were associated with the type and distance of the moving vehicle. A support vector machines (SVM) has been used as a weak classifer during the AdaBoost classification. The AdaBoost classification system outperforms the single classifier system in terms of classification accuracy. 2014-02-28T01:21:33Z 2014-02-28T01:21:33Z 2013 Article Procedia Engineering, vol. 53, 2013, page 728 978-162748634-7 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705813010497 http://dspace.unimap.edu.my:80/dspace/handle/123456789/32208 en Elsevier Ltd |
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English |
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Moving vehicle Adaptive boosting Support vector machine One-third-octave |
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Moving vehicle Adaptive boosting Support vector machine One-third-octave Norasmadi, Abdul Rahim Pandian, Paulraj Murugesa, Prof. Dr. Abd Hamid, Adom, Prof. Dr. Erratum: Adaptive boosting with SVM classifier for moving vehicle classification |
| description |
Link to publisher's homepage at http://www.elsevier.com/ |
| author2 |
norasmadi@unimap.edu.my |
| author_facet |
norasmadi@unimap.edu.my Norasmadi, Abdul Rahim Pandian, Paulraj Murugesa, Prof. Dr. Abd Hamid, Adom, Prof. Dr. |
| format |
Article |
| author |
Norasmadi, Abdul Rahim Pandian, Paulraj Murugesa, Prof. Dr. Abd Hamid, Adom, Prof. Dr. |
| author_sort |
Norasmadi, Abdul Rahim |
| title |
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification |
| title_short |
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification |
| title_full |
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification |
| title_fullStr |
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification |
| title_full_unstemmed |
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification |
| title_sort |
erratum: adaptive boosting with svm classifier for moving vehicle classification |
| publisher |
Elsevier Ltd |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/32208 |
| _version_ |
1643796831605358592 |