Objetivo Detecting humans, reconstructing their structure and motion or understanding human action from video sequences are problems of key importance in the advancement of a variety of technological fields including video indexing and coding, entertainment and cul ture, animation and virtual reality, intelligent human-computer interfaces, protection and security. HUMOREV will create technologies that will enable the construction of such systems via a novel association between large scale statistical modeling and lea rning methods, optimization techniques and computer vision. For practical efficiency and robustness, we will devise methods for the automatic learning of adaptive, layered, task-driven human representations and design robust visual reconstruction and recog nition methods that will integrate bottom-up discriminative human detection and action prediction methods with top-down complex, generative, structural physical models. These results will be embodied in two integrated systems: one will target photorealisti c reconstruction of the structure, motion and appearance of multiple interacting humans in movies or archival footage; the other will aim at recognizing human activities in real world image sequences filmed in offices or outdoor environments. Ámbito científico natural sciencescomputer and information sciencesartificial intelligencecomputer visionhumanitiesartsmodern and contemporary artcinematographynatural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality Palabras clave computer vision human modeling machine learning non non-linear optimization sampling methods tracking Programa(s) FP6-MOBILITY - Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006 Tema(s) MOBILITY-3.1 - Marie Curie Excellence Grants (EXT) Convocatoria de propuestas FP6-2004-MOBILITY-8 Consulte otros proyectos de esta convocatoria Régimen de financiación EXT - Marie Curie actions-Grants for Excellent Teams Coordinador RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN Aportación de la UE Sin datos Dirección Regina-Pacis-Weg 3 PO Box 2220 BONN Alemania Ver en el mapa Enlaces Sitio web Opens in new window Coste total Sin datos Participantes (1) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo TECHNISCHE UNIVERSITEIT EINDHOVEN Países Bajos Aportación de la UE Sin datos Dirección Den Dolech 2 5612 AZ 513 EINDHOVEN Ver en el mapa Enlaces Sitio web Opens in new window Coste total Sin datos
