logo Idiap Research Institute        
 [BibTeX] [Marc21]
Audio-Visual Speaker Tracking with Importance Particle Filters
Type of publication: Idiap-RR
Citation: gatica02d
Number: Idiap-RR-37-2002
Year: 2002
Institution: IDIAP
Abstract: We present a probabilistic methodology for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and audio information via importance particle filters (I-PFs,',','), allowing for the asymmetrical integration of AV information in a way that efficiently exploits the complementary features of each modality. Audio localization information is used to generate an importance sampling (IS) function, which guides the random search process of a particle filter towards regions of the configuration space likely to contain the true configuration (a speaker). The measurement process integrates contour-based and audio observations, which results in reliable head tracking in realistic scenarios. We show that imperfect single modalities can be combined into an algorithm that automatically initializes and tracks a speaker, switches between multiple speakers, tolerates visual clutter, and recovers from total AV object occlusion, in the context of a multimodal meeting room.
Userfields: ipdmembership={speech, vision},
Projects Idiap
Authors Gatica-Perez, Daniel
Lathoud, Guillaume
McCowan, Iain A.
Odobez, Jean-Marc
Moore, Darren
Crossref by gatica02d-conf
Added by: [UNK]
Total mark: 0
  • rr02-37.pdf
  • rr02-37.ps.gz