Boosted Tracking in Video
Giuseppe Boccignone, Paola Campadelli, Alessandro Ferrari and Giuseppe Lipori
IEEE Journal "Signal Processing Letters"
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.
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Giuseppe Lipori|
|Deposited On:||08 March 2010|