TY  - JOUR
PY  - 2010//
TI  - Boosted Tracking in Video
JO  - IEEE signal processing letters
A1  - Boccignone, Giuseppe
A1  - Campadelli, Paola
A1  - Ferrari, Alessandro
A1  - Lipori, Giuseppe
SP  - 129
EP  - 132
VL  - 17
IS  - 2
N2  - 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.<p /> 
LA  - 
SN  - 1070-9908
UR  - http://dx.doi.org/10.1109/LSP.2009.2030862
ID  - ref1
ER  -