CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Robust Real-Time Face Detection
International Journal of Computer Vision
Human computing and machine understanding of human behavior: a survey
Proceedings of the 8th international conference on Multimodal interfaces
Probabilistic object tracking based on machine learning and importance sampling
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Face detection and tracking in a video by propagating detection probabilities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Integration of Face and Low-Level Cues for Foveated Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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In this note it is discussed how real-time face detection and tracking in video can be achieved by relying on a Bayesian approach realized in a multi-threaded architecture. To this end we propose a probabilistic interpretation of the output provided by a cascade of AdaBoost classifiers. Results show that such integrated approach is appealing with respect either to robustness and computational efficiency.