In industrial farming, livestock well-being is becoming increasingly more important. Animal
breeding companies are interested in enhancing the total merit index used in breeding …

RGBT tracking combines visible and thermal infrared images to achieve tracking and faces
challenges due to motion blur caused by camera and target movement. In this study, we …

This research investigates the recognition of basketball techniques actions through the
implementation of three-dimensional (3D) Convolutional Neural Networks (CNNs), aiming to …

Multi-target tracking is one of the important fields in computer vision, which aims to solve the
problem of matching and correlating targets between adjacent frames. In this paper, we …

To solve the problems of low matching degree, long tracking time, and low accuracy of multi-
target tracking in the process of athlete motion trajectory tracking using deep learning …

In recent years, with the continuous development of computer technology, deep learning has
been widely applied to computer vision tasks and has achieved great success in areas such …

With the continuous advancement of artificial intelligence and computer vision, the
application of image recognition-based target tracking systems in the field of sports has …

Basketball is one of the three ball games, loved by all sports enthusiasts, and shooting is the
most basic means of scoring. In order to improve the scoring rate of basketball shooting, the …

Basketball, as an offensive and defensive game centered around high altitude, has become
an international mass competitive sport. Traditional methods cannot comprehensively …

The combination of traditional basketball footwork mobile teaching and AI will become a hot
spot in basketball footwork research. This article used a deep learning (DL) unsupervised …