Abnormal Human Activity Recognition in Video Surveillance: A Survey

This paper provides a comprehensive overview of deep learning techniques utilized for detecting abnormal human behaviors in video surveillance streams. It categorizes existing methods into unsupervised, partially supervised, and fully supervised approaches, highlighting the challenges of limited labeled abnormal behavior data.