Human Pose and Motion Understanding
A core topic in our research activity, organized in different sub-tasks
- Computational models and cognitive science
- Marker-less motion analysis
- Gaze estimation
- Cross-view action recognition
- The MoCa project
mlv
Machine Learning & Vision
We investigate different nuances of visual perception in artificial intelligence systems, where computer vision and machine learning are combined to obtain robust data-driven methods addressing a variety of problems.
In this multidisciplinary world, we are interested in mathematically sound algorithms, computational models, and a wide range of applications.
In particular, we study and develop methods for scene understanding, motion analysis, and action recognition, with applications to assisted living, human-machine interaction, and robotics.
