Deep Learning & Video Analytics

This area of research focuses on the use of traditional as well as machine learning (in particular, deep learning) approaches for video analytics. Topics include anomaly detection, pedestrian detection, person re-identification, object tracking, and action recognition. Applications are mainly in the security and surveillance domains.​

Research projects include: