Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …

Traffic signs are essentially needed to obey the traffic rules. Once a driver ignores the signs,
especially those critical signs, due to the complexity of actual traffic scenes or the influence …

Utilizing a multiscale training dataset, YOLOv8 leverages deep learning to deliver rapid
inference capabilities and exceptional accuracy in detecting visual objects, particularly …

In this book chapter, the authors propose a method for player pose recognition in billiards
matches by combining keypoint extraction and an optimized transformer. Given that those …

Face image inpainting has great value in the fields of computer vision and digital image
processing. In this paper, we propose a face image inpainting method based on …

This book chapter presents a real-time system for detecting the stability of a player's billiard
shot, based on the YOLOv8 neural network. The system comprises a real-time object …

The combination of spatiotemporal videos and essential features can improve the
performance of human action recognition (HAR); however, the individual type of features …

Human action recognition is a fundamental research problem in computer vision. The
accuracy of human action recognition has important applications. In this book chapter, the …

COVID-19 and its variants have affected millions of people around the world. Wearing a
mask is an effective way to reduce the spread of the epidemic. While wearing masks is a …

Surveillance today is widely used in public safety and security. Additionally, more and more
people have their own smartphones, the advancement has led to a large amount of video …