Istanbul / Montréal / Adaptive Appearance Model / Beijing / Cagliari / /
Company
AOE / Intel / /
Country
Italy / Turkey / United States / Canada / China / / /
Facility
University of Cagliari / Stable Model / /
IndustryTerm
unconstrained video surveillance applications / face algorithm / online appearance models / online boosting algorithm / video surveillance applications / online learning / decision support systems / surveillance technologies / real-time applications / on-line learning / video surveillance networks / search window / real world video surveillance applications / important tool / exhaustive search / face detection algorithm / online subspace learning algorithm / on-line learning algorithms / face tracking algorithms / human operator / partial solutions / /
Organization
Department of Electrical and Electronic Engineering / IVT / University of Cagliari / V (pi ) / Natural Sciences and Engineering Research Council of Canada / Pattern Analysis and Machine Intelligence / /
Person
M. J. Black / S. Kumar / V / D. J. Fleet / A. D. Jepson / T. F. El-Marahgi / /
Position
Prime Minister / face model for tracking / model update / representative / /
A Comparison of Adaptive Appearance Methods for Tracking Faces in Video Surveillance M. Ali Akber Dewan*, E. Granger*, F. Roli†, R. Sabourin*, and G. L. Marcialis† *Laboratoire d’imagerie, de vision et d’intellig