Add to ORKGThis paper presents a new method able to integrate au-dio and visual information for scene analysis in a typi-cal surveillance scenario, using only one camera and one monaural microphone. Visual information is analyzed by a standard visual background/foreground (BG/FG) modelling module, enhanced with a novelty detection stage, and cou-pled with an audio BG/FG modelling scheme. The audio-visual association is performed on-line, by exploiting the concept of synchrony. Experimental tests carrying out clas-sification and clustering of events show all the potentialities of the proposed approach, also in comparison with the re-sults obtained by using the single modalities. 1
Technological developments and innovations of the first forty years of the digital era have primaril...
Technological developments and innovations of the first forty years of the digital era have primaril...
Acoustic events produced in meeting environments may contain useful information for perceptually awa...
This paper presents a new method able to integrate audio and visual information for scene analysis i...
In the context of the automated surveillance field, automatic scene analysis and understanding syst...
This paper introduces a new concept of surveillance, namely, audio-visual data integration for backg...
In this paper, we investigate the problem of automatic audio surveillance. This aspect of the survei...
Current computer vision techniques can effectively monitor gross activities in sparse environments. ...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
Despite surveillance systems are becoming increasingly ubiquitous in our living environment, automat...
Despite surveillance systems becoming increasingly ubiquitous in our living environment, automated s...
A novel technique, which uses a joint audio-visual analysis for scene identification and characteriz...
Technological developments and innovations of the first forty years of the digital era have primaril...
Technological developments and innovations of the first forty years of the digital era have primaril...
Acoustic events produced in meeting environments may contain useful information for perceptually awa...
This paper presents a new method able to integrate audio and visual information for scene analysis i...
In the context of the automated surveillance field, automatic scene analysis and understanding syst...
This paper introduces a new concept of surveillance, namely, audio-visual data integration for backg...
In this paper, we investigate the problem of automatic audio surveillance. This aspect of the survei...
Current computer vision techniques can effectively monitor gross activities in sparse environments. ...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
This chapter addresses sound scene and event classification in multiview settings, that is, settings...
Despite surveillance systems are becoming increasingly ubiquitous in our living environment, automat...
Despite surveillance systems becoming increasingly ubiquitous in our living environment, automated s...
A novel technique, which uses a joint audio-visual analysis for scene identification and characteriz...
Technological developments and innovations of the first forty years of the digital era have primaril...
Technological developments and innovations of the first forty years of the digital era have primaril...
Acoustic events produced in meeting environments may contain useful information for perceptually awa...