Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …

This paper presents a weakly supervised approach for group activity recognition by
exploiting the local relative motion and global correlations among entities. Most existing …

Physical aggression is a serious and widespread problem in society, affecting people
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …

Self-supervised skeleton-based action recognition enjoys a rapid growth along with the
development of contrastive learning. The existing methods rely on imposing invariance to …

Regarding safety and security, felonies and crimes with physical violence remain a
significant problem worldwide. Some solutions for pedestrian safety are guards, police car …

Recent studies have demonstrated the applicability of classification models based on deep
learning for detecting human action. For this reason, automatic violence detection from …

Detecting fights from videos and images in public surveillance places is an important task to
limit violent criminal behavior. Real-time detection of violent behavior can effectively ensure …

Human pose estimation has drawn extensive attention recently and there has been
significant progress on it due to the rising popularity of convolutional neural networks (CNN) …

Predicting an athlete's performance based on short footage is highly challenging.
Performance prediction requires high domain knowledge and enough evidence to infer an …

The study of automated video surveillance systems study using computer vision techniques
is a hot research topic and has been deployed in many real-world CCTV environments. The …