Real-time audio-visual tracking for meeting analysis

Authors:
David Demirdjian;Kevin Wilson;Michael Siracusa;Trevor Darrell
Affiliations:
Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA
Venue:
Proceedings of the 6th international conference on Multimodal interfaces
Year:
2004

Citing 3
Cited 1

Learning Patterns of Activity Using Real-Time Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Array Signal Processing: Concepts and Techniques

Array Signal Processing: Concepts and Techniques
Activity maps for location-aware computing

WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision

Speaker identification and speech recognition using phased arrays

Ambient Intelligence in Everyday Life

Quantified Score

Hi-index	0.00

Visualization

Abstract

We demonstrate an audio-visual tracking system for meeting analysis. A stereo camera and a microphone array are used to track multiple people and their speech activity in real-time. Our system can estimate the location of multiple people, detect the current speaker and build a model of interaction between people in a meeting.