A computer vision approach for detection and counting of motorcycle riders in university campus
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Year
: 2014DOI: 10.1109/CONFLUENCE.2014.6949338
Keyword(s): cepstral analysis,signal classification,speech recognition,background noise,cepestral coefficient,feature vector,front end analysis,k-NN classification,k-nearest neighbor classification,mel frequency scale,pattern recognition model,pitch period,real-time voice data input,short time energy,spectral acnalysis,spectrogram,speech recognition,speech signal,voice recognition model,voice signal classification,voice signal recognition,zero crossing rate,Accuracy,Classification alg
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A computer vision approach for detection and counting of motorcycle riders in university campus
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| contributor author | Waranusast, R. | |
| contributor author | Timtong, V. | |
| contributor author | Bundon, N. | |
| contributor author | Tangnoi, C. | |
| date accessioned | 2020-03-12T21:07:48Z | |
| date available | 2020-03-12T21:07:48Z | |
| date issued | 2014 | |
| identifier other | 6925906.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1038003?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A computer vision approach for detection and counting of motorcycle riders in university campus | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8164453 | |
| subject keywords | cepstral analysis | |
| subject keywords | signal classification | |
| subject keywords | speech recognition | |
| subject keywords | background noise | |
| subject keywords | cepestral coefficient | |
| subject keywords | feature vector | |
| subject keywords | front end analysis | |
| subject keywords | k-NN classification | |
| subject keywords | k-nearest neighbor classification | |
| subject keywords | mel frequency scale | |
| subject keywords | pattern recognition model | |
| subject keywords | pitch period | |
| subject keywords | real-time voice data input | |
| subject keywords | short time energy | |
| subject keywords | spectral acnalysis | |
| subject keywords | spectrogram | |
| subject keywords | speech recognition | |
| subject keywords | speech signal | |
| subject keywords | voice recognition model | |
| subject keywords | voice signal classification | |
| subject keywords | voice signal recognition | |
| subject keywords | zero crossing rate | |
| subject keywords | Accuracy | |
| subject keywords | Classification alg | |
| identifier doi | 10.1109/CONFLUENCE.2014.6949338 | |
| journal title | lectrical Engineering Congress (iEECON), 2014 International | |
| filesize | 775262 | |
| citations | 0 |