Pose-based anomaly detection is a video-analysis technique for detecting anomalous
events or behaviors by examining human pose extracted from the video frames. Human …

Video anomaly detection is an ill-posed problem because it relies on many parameters such
as appearance, pose, camera angle, background, and more. We distill the problem to …

Abnormal behavior detection in surveillance video is a fundamental task in modern public
security. Different from typical pixel-based solutions, pose-based approaches leverage low …

We propose a new method for anomaly detection of human actions. Our method works
directly on human pose graphs that can be computed from an input video sequence. This …

Anomaly Detection has recently received significant attention as an efficient concept for
surveillance. The main challenges of anomaly detection mainly come from three aspects: 1) …

Anomaly detection in surveillance videos is challenging but important for ensuring public
security. Different from pixel-based anomaly detection methods, pose-based methods utilize …

Human activity anomaly detection plays a crucial role in the next generation of surveillance
and assisted living systems. Most anomaly detection algorithms are generative models and …

Abnormal action detection is the most noteworthy part of anomaly detection, which tries to
identify unusual human behaviors in videos. Previous methods typically utilize future frame …

Video anomaly detection (VAD) involves identifying events or behaviours in video
sequences that deviate from expected patterns. Most VAD models to date focus on seeking …

Abstract Video Anomaly Detection (VAD) represents a challenging and prominent research
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …