Several factors, including the dimension and locus of the limbs and head, and other pictures
within an environment, were used to determine the management of event identification and …

Supervising and examining the physical activities of different individuals by using wireless
sensors is beneficial in favor of recognizing postural positioning and moving actions in the …

In computer vision and inertial sensors, recent research focuses on monitoring and
identifying falls, as well as daily actions, through autonomous human action detection. In this …

Computer vision systems face significant challenges in human-human interaction
recognition in dynamic environments, particularly with cluttered backgrounds. In this paper …

Tracking human actions, especially in the field of medicine, has encouraged interest in
computer vision, specifically for detecting gait anomalies to aid in rehabilitating patients with …

Sustaining resilient agricultural practices is essential for the overall yield because it
guarantees both economic stability and food supplies. By incorporating Zero-Shot learning …

Maintaining plant health, which has a direct impact on food security and economic stability,
requires early detection of plant diseases. Our method overcomes this difficulty by …

Vehicle identification and classification are essential for Intelligent Transportation Systems,
although current approaches may face challenges due to data collection discrepancies. This …

Vehicle detection is integral to advanced surveillance and traffic monitoring systems, which
traditionally rely on cameras positioned on bridges or roadsides. Aerial imagery, however …

Efficient vehicle detection and tracking are crucial for modern traffic management, yet
traditional systems are limited by fixed infrastructure. Aerial imagery, offering extensive …