Comparison of Spectrograms for Classification of Vehicles from Traffic Audio
Traditional vision-based traffic monitoring struggles with cost and low-light conditions. This research explores audio-based vehicle classification using deep learning to address these limitations. This exploration investigates the impact of different spectrogram types namely Short-time Fourier Tran...
| Published in: | IEEE Symposium on Wireless Technology and Applications, ISWTA |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
IEEE Computer Society
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203799017&doi=10.1109%2fISWTA62130.2024.10651848&partnerID=40&md5=29d22ec0b8c2c502aa2ee0af5e1a00eb |