Computer vision

At the eScience Center we work on computer vision to recognize objects, persons and behavior in still images and video. Automating visual analysis enables researchers to work with image and video collection of a much larger size than they would be able to analyze personally. The research projects we work on include the analysis of satellite imagery for the classification of land use, and detecting when plants start to grow or shed leaves and when they bloom, the analysis of medical scans to detect anomalies or the the analysis of scans for optical character recognition for automated digitalization of old documents.