Paper
12 April 2004 Robust real-time audiovisual face detection
Author Affiliations +
Abstract
This paper presents a face detection system that synergizes audio localization and visual face detection. This audiovisual face detection system is based on microphone sound localization, and image processing algorithms. The system integrates the application of sound localization by Time Delay of Arrival and the iterative application of Adaptive 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 face detection system is able to perform face detection of success rate 97.5% at 0.82 seconds of convergence time, and 5.8Hz display frame rate, on a Pentium IV 2.5GHz.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Mark Fang and Parham Aarabi "Robust real-time audiovisual face detection", Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); https://doi.org/10.1117/12.545934
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Cited by 1 scholarly publication.
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KEYWORDS
Facial recognition systems

Image segmentation

Detection and tracking algorithms

Image processing

Image processing algorithms and systems

System integration

Visualization

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