PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Real-Time Probabilistic Tracking of Faces in Video
Giuseppe Boccignone, Paola Campadelli, Alessandro Ferrari and Giuseppe Lipori
In: International Conference on Image Analysis and Processing, 8-11 Sep 2009, Vietri sul Mare, Italy.

Abstract

In this note it is discussed how real-time face detection and tracking in video can be achieved by relying on a Bayesian approach realized in a multithreaded architecture. To this end we propose a probabilistic interpretation of the output provided by a cascade of AdaBoost classifiers. Results show that such integrated approach is appealing with respect either to robustness and computational efficiency.

EPrint Type:Conference or Workshop Item (Oral)
Additional Information:ISBN:9783642041457
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6018
Deposited By:Giuseppe Lipori
Deposited On:08 March 2010