PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Boosted Tracking in Video
Giuseppe Boccignone, Paola Campadelli, Alessandro Ferrari and Giuseppe Lipori
IEEE Journal "Signal Processing Letters" Volume 17, Number 2, 2010.

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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6017
Deposited By:Giuseppe Lipori
Deposited On:08 March 2010