Understanding human actions is crucial for enabling machines to interpret human behavior,
with applications spanning video-based surveillance applications, sports monitoring, and …

Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …

Human Interaction Recognition (HIR) is a topic of extensive research, posing a challenge for
scholars to understand various human interactions and create reliable systems for their …

Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …

In computer vision and image processing, vehicle detection and tracking in complicated
aerial images have become important subjects. The need for automated systems that can …

The rise of computer vision technology has seen development of advanced algorithms that
can accurately detect human activities from RGB videos taken by drone cameras. One major …

The integration of machine learning (ML) into material manufacturing has driven
advancements in optimizing biopolymer production processes. ML techniques, applied …

Vehicle detection and classification represent critical tasks within intelligent traffic monitoring
systems, yet traditional methods often pose computational challenges and limitations when …

Indoor localization is a hot topic due to the rising demand for location-based services and
smartphone use. Actions in indoor spaces provide valuable information that systems can …

In recent years, Artificial intelligence has gained significant attention in automatically
recognizing human interaction. Thus, leading researchers to develop efficient Human …