Obiettivo 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. Campo scientifico natural sciencescomputer and information sciencesartificial intelligencecomputer visionhumanitiesartsmodern and contemporary artcinematographynatural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality Parole chiave computer vision human modeling machine learning non non-linear optimization sampling methods tracking Programma(i) 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 Argomento(i) MOBILITY-3.1 - Marie Curie Excellence Grants (EXT) Invito a presentare proposte FP6-2004-MOBILITY-8 Vedi altri progetti per questo bando Meccanismo di finanziamento EXT - Marie Curie actions-Grants for Excellent Teams Coordinatore RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN Contributo UE Nessun dato Indirizzo Regina-Pacis-Weg 3 PO Box 2220 BONN Germania Mostra sulla mappa Collegamenti Sito web Opens in new window Costo totale Nessun dato Partecipanti (1) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto TECHNISCHE UNIVERSITEIT EINDHOVEN Paesi Bassi Contributo UE Nessun dato Indirizzo Den Dolech 2 5612 AZ 513 EINDHOVEN Mostra sulla mappa Collegamenti Sito web Opens in new window Costo totale Nessun dato