Moving vehicle detection using time domain statistical features

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Main Authors: Paulraj, Murugesa Pandiyan, Prof. Dr., Abd Hamid, Adom, Prof. Dr., Siti Marhainis, Othman, Sathishkumar, Sundararaj
Other Authors: sathishy2j@yahoo.com
Format: Article
Language:English
Published: Trans Tech Publications 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33465
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spelling my.unimap-334652014-04-07T05:10:16Z Moving vehicle detection using time domain statistical features Paulraj, Murugesa Pandiyan, Prof. Dr. Abd Hamid, Adom, Prof. Dr. Siti Marhainis, Othman Sathishkumar, Sundararaj sathishy2j@yahoo.com Hearing impaired Probabilistic Neural Network (PNN) Statistical features Link to publisher's homepage at http://www.ttp.net/ The Hearing Impaired People (HIP) cannot distinguish the sound from a moving vehicle approaching from their behind. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in outdoor. If HIPs can successfully get sound information through some machine interface, dangerous situation will be avoided. Generally the profoundly deaf people do not use any hearing aid which does not provide any benefit. This paper presents, simple statistical features are used to classify the vehicle type and its distance based on sound signature recorded from the moving vehicles. An experimental protocol is designed to record the vehicle sound under different environment conditions and also at different speed of vehicles. Basic statistical features such as the standard deviation, Skewness, Kurtosis and frame energy have been used to extract the features. Probabilistic neural network (PNN) models are developed to classify the vehicle type and its distance. The effectiveness of the network is validated through stimulation. 2014-04-07T05:10:16Z 2014-04-07T05:10:16Z 2014 Article Applied Mechanics and Materials, vol.471, 2014, 208-212 1662-7482 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33465 http://www.scientific.net/AMM.471.208 10.4028/www.scientific.net/AMM.471.208 en Trans Tech Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Hearing impaired
Probabilistic Neural Network (PNN)
Statistical features
spellingShingle Hearing impaired
Probabilistic Neural Network (PNN)
Statistical features
Paulraj, Murugesa Pandiyan, Prof. Dr.
Abd Hamid, Adom, Prof. Dr.
Siti Marhainis, Othman
Sathishkumar, Sundararaj
Moving vehicle detection using time domain statistical features
description Link to publisher's homepage at http://www.ttp.net/
author2 sathishy2j@yahoo.com
author_facet sathishy2j@yahoo.com
Paulraj, Murugesa Pandiyan, Prof. Dr.
Abd Hamid, Adom, Prof. Dr.
Siti Marhainis, Othman
Sathishkumar, Sundararaj
format Article
author Paulraj, Murugesa Pandiyan, Prof. Dr.
Abd Hamid, Adom, Prof. Dr.
Siti Marhainis, Othman
Sathishkumar, Sundararaj
author_sort Paulraj, Murugesa Pandiyan, Prof. Dr.
title Moving vehicle detection using time domain statistical features
title_short Moving vehicle detection using time domain statistical features
title_full Moving vehicle detection using time domain statistical features
title_fullStr Moving vehicle detection using time domain statistical features
title_full_unstemmed Moving vehicle detection using time domain statistical features
title_sort moving vehicle detection using time domain statistical features
publisher Trans Tech Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33465
_version_ 1643797192128856064
score 13.222552