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 …

Human pose and gesture estimation are crucial in correcting physiotherapy fitness
exercises. In recent years, advancements in computer vision and machine learning …

Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …

Path prediction is an essential task for many real-world Cyber-Physical Systems (CPS)
applications, from autonomous driving and traffic monitoring/management to …

The falling cost of IoT cameras, the advancement of AI-based computer vision algorithms,
and powerful hardware accelerators for deep learning have enabled the widespread …

Nowadays, deep learning (DL)-based video surveillance services are widely used in smart
cities because of their ability to accurately identify and track objects, such as vehicles and …

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

Video surveillance systems are integral to bolstering safety and security across multiple
settings. With the advent of deep learning (DL), a specialization within machine learning …

Smart city applications are revolutionizing the way people interact with diverse systems in
city-wide applications. Internet of Things (IoT) and machine learning are two enabling …

Smart Video surveillance systems have become important recently for ensuring public safety
and security, especially in smart cities. However, applying real-time artificial intelligence …