Existing methods of multi-person video 3D human Pose and Shape Estimation (PSE)
typically adopt a two-stage strategy, which first detects human instances in each frame and …

Abnormal behavior detection (ABD) systems are built to automatically identify and recognize
abnormal behavior from various input data types, such as sensor-based and vision-based …

We consider the problem of recovering a single person's 3D human mesh from in-the-wild
crowded scenes. While much progress has been in 3D human mesh estimation, existing …

Activity Recognition and Classification is one of the most significant issues in the computer
vision field. Identifying and recognizing actions or activities that are performed by a person is …

The existing methods for video anomaly detection mostly utilize videos containing
identifiable facial and appearance-based features. The use of videos with identifiable faces …

One of the most difficult challenges in the field of computer vision is human activity
recognition (HAR). The main purpose of intelligent video system is to determine the actions …

Recognizing human action is one of the most critical factors in the visual perception of
robots. Specifically, skeletonbased action recognition has been actively researched to …

In the past few decades, recognizing the activities of an individual is remaining as the most
challenging task in the computer science domain. Human activity recognition (HAR) is the …

The prevalent use of surveillance cameras in public places and advancements in computer
vision warrant most sought-after research in the domain of anomalous activity detection …

Human activity recognition (HAR) is necessary in numerous fields, involving medicine,
sports, and security. Traditional HAR methods often rely on complex feature extraction from …