Automation in every part of life has become a frequent situation because of the rapid
advancement of technology, mostly driven by AI technology, and has helped facilitate …

Ball detection is one of the most important tasks in the context of soccer-playing robots. The
ball is a small moving object which can be blurred and occluded in many situations. Several …

A DCNN-LSTM (Deep Convolutional Neural Network-Long Short Term Memory) model is
proposed to recognize and track table tennis's real-time trajectory in complex environments …

In recent years sport video research has gained a steady interest among the scientific
community. The large amount of video data available from broadcast transmissions and from …

With the advances in hardware technologies and deep learning techniques, it has become
feasible to apply these techniques in diverse fields. Convolutional Neural Network (CNN) …

Accurate player and ball detection has become increasingly important in recent years for
sport analytics. As most state-of-the-art methods rely on training deep learning networks in a …

There have been limited studies demonstrating the validation of batting techniques in cricket
using machine learning. This study demonstrates how the batting backlift technique in …

With the emergence of onboard vision processing for areas such as the internet of things
(IoT), edge computing and autonomous robots, there is increasing demand for …

The paper describes a deep network based object detector specialized for ball detection in
long shot videos. Due to its fully convolutional design, the method operates on images of …

Classifying various type of bat strokes played in a cricket match has always been an
arduous undertaking while indexing the cricket sport. Identifying the type of shot played by …