Multimodal Audio-Visual Recognition of Traffic Events

Author

Lopatka, Kuba ; Kotus, J. ; Szczodrak, M. ; Marcinkowski, P. ; Korzeniewski, A. ; Czyzewski, Andrzej

Author_Institution

Multimedia Syst. Dept., Telecommun. & Inf. Gdansk Univ. of Technol., Gdansk, Poland

fYear

2011

fDate

Aug. 29 2011-Sept. 2 2011

Firstpage

376

Lastpage

380

Abstract

A demonstrator of traffic events detector based on the multimodal analysis of audio and video signals is described. The subsystem is a part of smart surveillance applications. It uses surveillance cameras and microphones as the data source. The algorithms employed to the analysis of data - sound event recognition and video analytics, are explained. Results of the multimodal analysis of recordings of dangerous and passive traffic situations are presented and discussed.

Keywords

audio signal processing; video signal processing; video surveillance; audio signal; data source; microphone; multimodal analysis; multimodal audio-visual recognition; smart surveillance; sound event recognition; surveillance camera; traffic events detector; video signal; Acoustics; Algorithm design and analysis; Educational institutions; Microphones; Signal processing algorithms; Streaming media; Support vector machines; audio surveillance; multimodal event detection; sound recognition; video analytics; video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on

Conference_Location

Toulouse

ISSN

1529-4188

Print_ISBN

978-1-4577-0982-1

Type

conf

DOI

10.1109/DEXA.2011.55

Filename

6059846