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Summary: 1
Robust Sound Localization Using Multi-Source
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 multi-modal sound localization system utilizing 2
cameras and a 3-element microphone array. The 2 cameras were used as part of a stereo feature-detection
based visual object localization system, while the microphones were combined to produce a sound localization
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