Citation

Boccignone G, Campadelli P, Ferrari A, Lipori G. IEEE Signal Process. Lett. 2010; 17(2): 129-132.

Copyright

(Copyright © 2010, IEEE Signal Processing Society)

DOI

10.1109/LSP.2009.2030862

PMID

unavailable

Abstract

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.