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STARS Research team
Spatio-Temporal Activity Recognition Systems
- Leader : François Brémond
- Type : team
- Research center(s) : Sophia
- Field : Perception, Cognition, Interaction
- Theme : Vision, Perception and Multimedia Understanding
Team presentation
The Stars research team focuses on the design of cognitive vision systems for Activity Recognition. More precisely, we are interested in the real-time semantic interpretation of dynamic scenes observed by video cameras and other sensors. We study long-term spatio-temporal activities performed by agents such as human beings, animals or vehicles in the physical world. The major issue in semantic interpretation of dynamic scenes is to bridge the gap between the subjective interpretation of data and the objective measures provided by sensors. To address this problem Stars develops new techniques in the field of cognitive vision and cognitive systems for physical object detection, activity understanding, activity learning, vision system design and evaluation. We focus on two principal application domains: visual surveillance and healthcare monitoring.Research themes
We have two main research themes: * Scene understanding for activity recognition: scene understanding aims at solving the complete interpretation problem ranging from low level signal analysis to semantic description of what is happening in the scene viewed by video cameras and possibly other sensors. We work more particularly on perception, understanding and learning. * Software architecture for activity recognition: this research direction consists in studying generic systems for activity recognition and in elaborating a methodology for their design. We wish to ensure genericity, modularity, re-usability, extensibility, dependability and maintainability. We work more particularly on models, platform architecture, and system safeness.International and industrial relations
Stars is member of Eucognition network of excellence, European projects VANAHEIM, SUPPORT and DEM@CARE. Stars collaborates with academics: Univ. Reading (UK), Kingston (UK) , Hamburg,(D), Tainan (Taiwan), CSTB, CHU Nice, CEA, UNSA... as well as industrials LinkCareServices, Thales, Keeneo, RATP... Stars has a strong partnership with CoBTeK and Nice hospital.Keywords: Activity Recognition Scene Understanding Machine Learning Computer Vision Cognitive Vision Systems Software Engineering
Research teams of the same theme :
- AYIN - Stochastic models for remote sensing and skincare image processing
- IMEDIA2 - Images et multimédia : indexation, navigation et recherche
- LEAR - Learning and recognition in vision
- MAGRIT - Visual Augmentation of Complex Environments
- MORPHEO - Capture and Analysis of Shapes in Motion
- PERCEPTION - Interpretation and Modelling of Images and Videos
- PRIMA - Perception, recognition and integration for observation of activity
- SIROCCO - Analysis representation, compression and communication of visual data
- TEXMEX - Multimedia content-based indexing
- WILLOW - Models of visual object recognition and scene understanding
Contact
Team leader
François Brémond
(See all teams)
Tel.: +33.4.92.38.76.59
Secretariat
Tel.: +33.4.92.38.76.57
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Genealogy
This team follows
Inria
Inria.fr
Inria Channel

See also