Department: IT, Multimedia and Telecommunications Department

Research group: AIWELL Artificial Intelligence for Human Well-being

Was part of these groups:

Doctor by the Universitat Autònoma de Barcelona with the thesis Probabilistic Darwin Machines: A new approach to develop Evolutionary Object Detection Systems 2009. Supervised by Dr. Jordi Vitrià Marca.

The R&D activities of researcher Xavier Baró focus on the study of computer vision algorithms dedicated to the analysis of human behaviour, facial perception and object and scene recognition. His main research interests are statistical learning models applied to computer vision. He also specialises in learning models based on evolutionary principles. The main applications of pattern recognition are aimed at scene analysis, detecting the objects scenes contain and the relationships between them. In the particular case of scenes involving people, he also works on analysing behaviour based on non-verbal language and interaction models. Finally, at an application level, he also works on the automatic recognition of works of art and their components, and the application of AI techniques to operational problems. He is a member of the UOC's SUNAI (Scene Understanding and Artificial Intelligence Lab) R&D group.