Real-Time Automated Video and Audio Capture with Multiple Cameras and Microphones

Abstract

This work presents the acoustic and visual-based tracking system functioning at the Harvard Intelligent Multi-Media Environments Laboratory (HIMMEL). The environment is populated with a number of microphones and steerable video cameras. Acoustic source localization, video-based face tracking and pose estimation, and multi-channel speech enhancement methods… (More)
DOI: 10.1023/A:1011127615679

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