Boosted Tracking in Video
Giuseppe Boccignone, Paola Campadelli, Anna Ferrari, Giuseppe Lipori · IEEE Signal Processing Letters · 2009
We discuss how a probabilistic interpretation of the output provided by a cascade of boosted classifiers can be exploited for Bayesian tracking in video streams. In particular, real-time face and body detection can be achieved by relying on such a Bayesian framework. Results show that such integrated approach is appealing with respect both to robustness and computational efficiency.