Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346166" target="_blank" >RIV/68407700:21230/20:00346166 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/IV47402.2020.9304600" target="_blank" >https://doi.org/10.1109/IV47402.2020.9304600</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IV47402.2020.9304600" target="_blank" >10.1109/IV47402.2020.9304600</a>
Alternative languages
Result language
angličtina
Original language name
Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow
Original language description
The paper presents a method for audio-based vehicle counting (VC) in low-to-moderate traffic using one-channel sound. We formulate VC as a regression problem, i.e., we predict the distance between a vehicle and the microphone. Minima of the proposed distance function correspond to vehicles passing by the microphone. V C is carried out via local minima detection in the predicted distance. We propose to set the minima detection threshold at a point where the probabilities of false positives and false negatives coincide so they statistically cancel each other in total vehicle number. The method is trained and tested on a traffic-monitoring dataset comprising 422 short, 20-second one-channel sound files with a total of 1421 vehicles passing by the microphone. Relative V C error in a traffic location not used in the training is below 2% within a wide range of detection threshold values. Experimental results show that the regression accuracy in noisy environments is improved by introducing a novel high-frequency power feature.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE Intelligent Vehicles Symposium (IV)
ISBN
978-1-7281-6673-5
ISSN
1931-0587
e-ISSN
2642-7214
Number of pages
7
Pages from-to
1608-1614
Publisher name
IEEE Industrial Electronics Society
Place of publication
Piscataway
Event location
Las Vegas
Event date
Oct 19, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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