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Dynamic Scene Understanding

Non-invasive technologies for monitoring and understanding complex environments have applications in diverse domains such as security in industrial environment, outdoor and indoor surveillance, person action recognition, traffic analysis, assisted living, customer behaviour, sports analysis etc. This macro-activity is concerned with the development of computer vision technologies for dynamic scene understanding in such applicative contexts. The most recently used techniques are based on machine learning and deep learning with structured output prediction.

We conduct research activities on object tracking, people re-identification, activity recognition, behavior analysis, anomaly detection and statistical scene analysis.