Traffic monitoring with ad-hoc microphone array

Takuya Toyoda, Nobutaka Ono, Shigeki Miyabe, Takeshi Yamada, Shoji Makino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we propose an easy and convenient method for traffic monitoring based on acoustic sensing with vehicle sound recorded by an ad-hoc microphone array. Since signals recorded by an ad-hoc microphone array are asynchronous, we perform channel synchronization by compensating for the difference between the start and the end of the recording and the sampling frequency mismatch. To monitor traffic, we estimate the number of the vehicles by employing the peak detection of the power envelopes, and classify the traffic lane from the difference between the propagation times of the mi-crophones. We also demonstrate the effectiveness of our proposed method using the results of an experiment in which we estimated the number of vehicles and classified the lane in which the vehicles were traveling, according to F-measure.

Original languageEnglish
Title of host publication2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages318-322
Number of pages5
ISBN (Electronic)9781479968084
DOIs
Publication statusPublished - 2014 Nov 11
Externally publishedYes
Event2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014 - Juan-les-Pins, France
Duration: 2014 Sep 82014 Sep 11

Publication series

Name2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014

Conference

Conference2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014
Country/TerritoryFrance
CityJuan-les-Pins
Period14/9/814/9/11

Keywords

  • Traffic monitoring
  • ad-hoc microphone array
  • peak detection
  • synchronization

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Acoustics and Ultrasonics
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Traffic monitoring with ad-hoc microphone array'. Together they form a unique fingerprint.

Cite this