Real-Time Probabilistic Tracking of Faces in Video
Giuseppe Boccignone, Paola Campadelli, Alessandro Ferrari and Giuseppe Lipori
In: International Conference on Image Analysis and Processing, 8-11 Sep 2009, Vietri sul Mare, Italy.

Abstract

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 multithreaded 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.

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