%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 12:41:16 PM

@ARTICLE{gatica05db,
         author = {Gatica-Perez, Daniel and Lathoud, Guillaume and Odobez, Jean-Marc and McCowan, Iain A.},
       projects = {Idiap},
          month = {3},
          title = {Audio-visual probabilistic tracking of multiple speakers in meetings},
        journal = {IEEE Trans. on Audio, Speech, and Language Processing, accepted for publication.},
           year = {2006},
           note = {IDIAP-RR 05-27},
       crossref = {gatica05d},
       abstract = {Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track the location and speaking activity of multiple speakers in a multisensor meeting room, equipped with a small microphone array and multiple uncalibrated cameras. Our framework is based on a mixed-state dynamic graphical model defined on a multiperson state-space, which includes the explicit definition of a proximity-based interaction model. The model integrates audio-visual (AV) data through a novel observation model. Audio observations are derived from a source localization algorithm. Visual observations are based on models of the shape and spatial structure of human heads. Approximate inference in our model, needed given its complexity, is performed with a Markov Chain Monte Carlo particle filter (MCMC-PF,',','),
 which results in high sampling efficiency. We present results -based on an objective evaluation procedure- that show that our framework (1) is capable of locating and tracking the position and speaking activity of multiple meeting participants engaged in real conversations with good accuracy; (2) can deal with cases of visual clutter and partial occlusion; and (3) significantly outperforms a traditional sampling-based approach.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/rr-05-27.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-27.ps.gz},
ipdmembership={speech, vision},
}



crossreferenced publications: 
@TECHREPORT{gatica05d,
         author = {Gatica-Perez, Daniel and Lathoud, Guillaume and Odobez, Jean-Marc and McCowan, Iain A.},
       projects = {Idiap},
          title = {Audio-visual probabilistic tracking of multiple speakers in meetings},
           type = {Idiap-RR},
         number = {Idiap-RR-27-2005},
           year = {2005},
    institution = {IDIAP},
        address = {Martigny, Switzerland},
           note = {submitted for publication},
       abstract = {Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track the location and speaking activity of multiple speakers in a multisensor meeting room, equipped with a small microphone array and multiple uncalibrated cameras. Our framework is based on a mixed-state dynamic graphical model defined on a multiperson state-space, which includes the explicit definition of a proximity-based interaction model. The model integrates audio-visual (AV) data through a novel observation model. Audio observations are derived from a source localization algorithm. Visual observations are based on models of the shape and spatial structure of human heads. Approximate inference in our model, needed given its complexity, is performed with a Markov Chain Monte Carlo particle filter (MCMC-PF,',','),
 which results in high sampling efficiency. We present results -based on an objective evaluation procedure- that show that our framework (1) is capable of locating and tracking the position and speaking activity of multiple meeting participants engaged in real conversations with good accuracy; (2) can deal with cases of visual clutter and partial occlusion; and (3) significantly outperforms a traditional sampling-based approach.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/rr-05-27.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/rr-05-27.ps.gz},
ipdmembership={speech, vision},
language={English},
}