Classification of moving vehicle using multi-frame time domain features
This research work is mainly focused on recognition of different vehicles and its position using acoustic sound source to assist the Differentially Hearing Ability Abled (DHAA). In this paper, a simple protocol has been designed to record the noise emanated by the moving vehicles under different wea...
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| creator | Paulraj, M. P. Adom, A. H. Sundararaj, S. |
| description | This research work is mainly focused on recognition of different vehicles and its position using acoustic sound source to assist the Differentially Hearing Ability Abled (DHAA). In this paper, a simple protocol has been designed to record the noise emanated by the moving vehicles under different weather conditions and also at different vehicle speed. Two feature extraction methods namely Auto regressive and statistical feature methods are used to extract the features from the recorded acoustic signature. The Radial Basis Function Network (RBFN) model was used for classification. The networks effectiveness has been validated through stimulation. |
| doi_str_mv | 10.1109/ISCO.2013.6481211 |
| format | Conference Proceeding |
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The networks effectiveness has been validated through stimulation.</description><subject>Accuracy</subject><subject>Acoustic noise</subject><subject>Acoustics</subject><subject>Auto Regressive Model</subject><subject>Automotive engineering</subject><subject>Biology</subject><subject>Classification</subject><subject>Differentially Hearing Ability Abled (DHAA)</subject><subject>Feature extraction</subject><subject>Networks</subject><subject>Radial Basis Function Network (RBFN)</subject><subject>Signatures</subject><subject>Statistical Features</subject><subject>Vehicles</subject><isbn>1467343595</isbn><isbn>9781467343596</isbn><isbn>9781467346030</isbn><isbn>9781467346023</isbn><isbn>1467346020</isbn><isbn>1467346039</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotUEtLw0AYXBFBrfkB4iVHL6nfPrLZHCVoLRR6UM9hH9_qSh41mxT896aklxkGZoZhCLmnsKYUyqfte7VfM6B8LYWijNILkpSFokIWXEjgcEluF8HzMr8mSYw_ADBnJWfshmyqRscYfLB6DH2X9j5t-2PovtIjfgfbYDrFk2qnZgyZH3SL6RhmcH2rQ5d61OM0YLwjV143EZMzr8jn68tH9Zbt9ptt9bzLAgM1ZowZNw8R4DiicUaCobnLFffWSVtyiywHZYxSaKksmNG8zJXQznJvvPd8RR6X3sPQ_04Yx7oN0WLT6A77KdZUAQghaQmz9WGxBkSsD0No9fBXn2_i_xvcXAk</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Paulraj, M. 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P.</au><au>Adom, A. H.</au><au>Sundararaj, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Classification of moving vehicle using multi-frame time domain features</atitle><btitle>2013 7th International Conference on Intelligent Systems and Control (ISCO)</btitle><stitle>ISCO</stitle><date>2013-01</date><risdate>2013</risdate><spage>529</spage><epage>533</epage><pages>529-533</pages><isbn>1467343595</isbn><isbn>9781467343596</isbn><eisbn>9781467346030</eisbn><eisbn>9781467346023</eisbn><eisbn>1467346020</eisbn><eisbn>1467346039</eisbn><abstract>This research work is mainly focused on recognition of different vehicles and its position using acoustic sound source to assist the Differentially Hearing Ability Abled (DHAA). In this paper, a simple protocol has been designed to record the noise emanated by the moving vehicles under different weather conditions and also at different vehicle speed. 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| ispartof | 2013 7th International Conference on Intelligent Systems and Control (ISCO), 2013, p.529-533 |
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| language | eng |
| recordid | cdi_proquest_miscellaneous_1800446190 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Acoustic noise Acoustics Auto Regressive Model Automotive engineering Biology Classification Differentially Hearing Ability Abled (DHAA) Feature extraction Networks Radial Basis Function Network (RBFN) Signatures Statistical Features Vehicles |
| title | Classification of moving vehicle using multi-frame time domain features |
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