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Robust real-time audiovisual face detection
Proc. SPIE 5434, 411 (2004); http://dx.doi.org/10.1117/12.545934
Wednesday 14 April 2004
Orlando, FL, USA
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004
Belur V. Dasarathy
This paper presents a face detection system that synergizes audio localization and visual face detection. This audiovisualface detection system is based on microphone sound localization, and image processing algorithms. Thesystem integrates the application of sound localization by Time Delay of Arrival and the iterative application ofAdaptive Background Segmentation, to robustly perform real-time face detection on a stream of webcam images.Experimental results using an array of 24 microphones and a fixed-view webcam, show that the audiovisual facedetection system is able to perform face detection of success rate 97.5% at 0.82 seconds of convergence time, and5.8Hz display frame rate, on a Pentium IV 2.5GHz.
© 2004 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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Online Apr 19, 2004
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Wei Mark Fang and Parham Aarabi, "Robust real-time audiovisual face detection",
Proc. SPIE 5434, 411 (2004); http://dx.doi.org/10.1117/12.545934
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