Research Director of National Institute for Research in Computer Science and Control (INRIA), Sophia Antipolis, France

 François Brémond is leading the STARS team  that focuses on the design of cognitive vision systems for Activity Recognition,  at INRIA Sophia Antipolis on video scene understanding. He designs and develops generic systems for dynamic scene interpretation. The targeted class of applications is the automatic interpretation of indoor and outdoor partially structured scenes observed with sensors and in particular with static cameras. These systems detect and track mobile objects, which can be either humans or vehicles, and recognize their behaviours. He is particularly interested in filling the gap between sensor information (pixel level) and recognized activities (semantic level). In 1997 he obtained his PhD degree at INRIA in video understanding and François Brémond pursued his research work as a post doctorate at USC on the interpretation of videos taken from UAV (Unmanned Airborne Vehicle) in DARPA project VSAM (Visual Surveillance and Activity Monitoring). He also has participated to 11 European projects (e.g. SERKET, CANTATA, COFRIEND, SUPPORT, DEM@CARE), one DARPA project, several national projects (SAMSIT, SIC, VideoID …), seven industrial research contracts (e.g. RATP, FNCA, SNCF, ST-MicroElectronics, LCS) and several international cooperations (USA, Taiwan, UK, Belgium) in video understanding. François Brémond is author or co-author of more than 140 scientific papers published in international journals or conferences in video understanding. In 2005 he was a co-fonder of Keeneo, a company in intelligent video surveillance. More information is available at : http://www-sop.inria.fr/members/Francois.Bremond/