François Brémond

François Brémond, responsable de l'équipe-projet Inria StarsFrançois Brémond is a Research Director DR1 at Inria, Sophia Antipolis. He created the Stars team on the 1st of January 2012 and was previously the head of the Pulsar Inria team in September 2009. He obtained his Master degree in 1992 from ENS Lyon. He has conducted research work in video understanding since 1993 both at Sophia Antipolis and at USC (University of Southern California), LA. In 1997, François Brémond obtained his PhD degree from Inria in video understanding and he 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). In 2007, he obtained his HDR degree (Habilitation à Diriger des Recherches) from Nice University on “Scene Understanding: perception, multi-sensor fusion, spatio-temporal reasoning and activity recognition”. He is a co-fonder of Keeneo, Ekinnox and Neosensys: three companies in intelligent video monitoring and business intelligence. He also co-founded the CoBTek team from Nice University on the 1st of January 2012 with P. Robert from Nice Hospital on the study of behavioral disorders for older adults suffering from dementia.

François Brémond designs and develops generic systems for dynamic scene interpretation. The targeted class of applications is the automatic interpretation of indoor and outdoor scenes observed by sensors and in particular by monocular colour 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 behaviour recognition (semantic level). François Brémond is author or co-author of more than 200 scientific papers published in international journals or conferences in video understanding. He is reviewer for several international journals (CVIU, IJPRAI, IJHCS, PAMI, AIJ, Eurasip JASP,…) and conferences (CVPR, ICCV, AVSS, VS, ICVS,…). He has (co-)supervised 18 PhD theses. He is an EC INFSO and French ANR Expert for reviewing project. He was teaching numerical classification at Nice University and video understanding in a High Engineer School at Master level.

He has participated to 12 European projects (Esprit, ITEA, FP6, FP7: PASSWORDS, ADVISOR, AVITRACK, SERKET, CARETAKER, CANTATA, COFRIEND, SERKET, VICOMO, VANAHEIM, SUPPORT, DEM@CARE), one DARPA project, 12 French projects (ANR, DGE, Prédit, TechnoVision, PACA, CG06,…), several industrial research contracts (Bull, Vigitec, SNCF, RATP, ALSTOM, STMicroElectronics, Thales, Keeneo, LinkCareServices, Neosensys…) and several international cooperations (USA, Taiwan, UK, Belgium) in video understanding. For instance, he has succeeded to recognize a large variety of scenarios in different applications: fighting, abandoned luggage, graffiti, fraud, crowd behavior in metro stations, in streets and onboard trains, aircraft arrival, aircraft refuelling, luggage loading/unloading on airport aprons, bank attack in bank agencies, access control in buildings, office behavior monitoring for ambient intelligence, older adult activity monitoring for homecare applications and wasp monitoring for biological application. He has also participated to a series of ARDA workshops to build an ontology of video events.

Research topics:

Cognitive Vision: video understanding, scene understanding, event recognition, behaviour analysis, activity monitoring, muti-sensor fusion, multimedia interpretation,

Computer Vision: video processing, mobile object perception and tracking, motion analysis, object detection, pattern recognition,

Artificial Intelligence: knowledge-based systems, spatio-temporal reasoning, machine learning, scenario modelling, context representation, uncertainty handling, knowledge acquisition, ontology,

Autonomous Systems: real-time systems, system evaluation, parameter tuning, system configuration, system design, 3D visualisation,

Miscellaneous: applied research.

 

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