%Aigaion2 BibTeX export from Idiap Publications %Friday 13 December 2024 04:21:18 PM @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}, }