On face detection in the compressed domain
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A Fast and Accurate Face Detector Based on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Constrained Generative Model Applied to Face Detection
Neural Processing Letters
Hand posture recognition in a body-face centered space
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Hand Posture Recognition in a Body-Face Centered Space
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Machine Vision and Applications - Special issue: IEEE WACV
Audiovisual Arrays for Untethered Spoken Interfaces
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Audio-video array source separation for perceptual user interfaces
Proceedings of the 2001 workshop on Perceptive user interfaces
Tracking multiple people with recovery from partial and total occlusion
Pattern Recognition
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Both visual and acoustical informations provide effective means of telecommunication between persons. In this context, the face is the most important part of the person both visually and acoustically. We describe how the cooperation of image and audio processing allows to track a person's face and to collect the audio information it produces. We present detection techniques of regions of interest (e.g. moving regions of skin color), coupled with a neural network based face detector with a low false alarm rate, to locate and track faces. The system is connected to a nine microphone array adaptive beamforming which performs immediate beamforming. Visual and acoustical informations from the speaker face are thus obtained in real time.