Title :
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
fDate :
Aug. 29 2011-Sept. 2 2011
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;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-0982-1
DOI :
10.1109/DEXA.2011.55
