Arsan, TanerMeynet, JulienArsan, TanerMota, Javier CruzThiran, Jean-Philippe Philippe H.2019-06-282019-06-28200852219-54912219-5491https://hdl.handle.net/20.500.12469/1613In this paper a fast and an effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose we employ a tree of boosted classifiers built using either Haar-like filters or Gauss filters. A first classifier extracts faces of any pose from the background. Then more specific classifiers discriminate between different poses. The tree of classifiers is trained by hierarchically sub-sampling the pose space. Finally Condensation algorithm is used for tracking the faces. Experiments show large improvements in terms of detection rate and processing speed compared to state-of-the-art algorithms.eninfo:eu-repo/semantics/openAccessConference Object2-s2.0-84863758138N/AN/A