Summary: 1
Robust Sound Localization Using Multi­Source
Audiovisual Information Fusion
Parham Aarabi
Department of Electrical Engineering
Stanford University
Gates 4B Room 464, Department of
Computer Science, Stanford,
California, 94305
parham@stanford.edu
Safwat Zaky
Department of Electrical and
Computer Engineering
University of Toronto
10 Kings College Road, Toronto,
Ontario, Canada, M5S 3G4
safwat@eecg.toronto.edu
Abstract ­ This paper illustrates the synergic advantages of a multi­modal sound localization system utilizing 2
cameras and a 3­element microphone array. The 2 cameras were used as part of a stereo feature­detection
based visual object localization system, while the microphones were combined to produce a sound localization

Source: Aarabi, Parham - Department of Electrical and Computer Engineering, University of Toronto

Collections: Computer Technologies and Information Sciences