Because of the ambiguous definition of anomaly and the complexity of real data, video
anomaly detection is one of the most challenging problems in intelligent video surveillance …

Detecting abnormal human behaviors in surveillance videos is crucial for various domains,
including security and public safety. Many successful detection techniques based on deep …

Abnormal Human Behavior Detection in Videos: A Review Page 1 Information Technology
and Control 2021/3/50 522 Abnormal Human Behavior Detection in Videos: A Review ITC 3/50 …

Video anomaly detection (VAD) refers to identifying abnormal events in the surveillance
video. Typically, reconstruction based video anomaly detection techniques employ …

Accepted: 10 January 2020 Violent event detection is an interesting research problem and it
is a branch of action recognition and computer vision. The detection of violent events is …

Emotion recognition based on electroencephalogram (EEG) is an important part of human–
machine interaction. This paper used deep learning methods to extract EEG data features to …

Human gait recognition from videos is one of the promising research topics for analyzing
human walking behavior. Spatio-temporal features and kinematics interesting points (three …

Deep neural networks, including deep auto-encoder (DAE) and generative adversarial
networks (GAN), have been extensively applied for visual anomaly detection. These models …

Anomaly detection is one of the most valuable research topics in deep learning and
computer vision. Besides various tools and techniques, deep learning because of its …

Surveillance is the monitoring of behavior, actions, or information, with the purpose of
collecting, influencing, controlling, or guiding evidence. Despite the technical traits of cutting …