Recent developments in video analysis of sports and computer vision techniques have achieved
significant improvements to enable a variety of critical operations. To provide enhanced …

The capacity to comprehend and anticipate the movements of dynamic objects deployed in
sports contexts is a need for autonomous systems. A basketball game is an example of one …

The surge in demand for advanced operations in sports video analysis has underscored the
crucial role of multiple object tracking. This study addresses the escalating need for efficient …

In real-world sports video analysis, identity switching caused by inter-object interactions is
still a major difficulty for multi-player tracking. Due to similar appearances of players on the …

In sports applications, vision-based player detection is essential. For real-time activities like
broadcasts and player identification, accuracy, efficiency, and minimal memory use are …

Over the past few years, there has been a tremendous increase in the interest and enthusiasm
for sports among people. This has led to an increase in the importance given to video …

Event detection and classification in sports are particularly important in the field of sports
data analytics. In this era, various AI methods are utilized to detect events in a football (soccer) …

Computer vision algorithms based on deep learning have evolved to play a major role in sports
analytics. Nevertheless, in sports like table tennis, detecting the ball is a challenge as the …

Nowadays, wireless technology is developing at a great rate, as the process industries looking
for the way to reduce the cost of the system, to improvise the performance of the system, …

Graphic Processing Units (GPUs) are becoming very important in the present day. Their high
computational capabilities with high speed and accuracy are making them a very strong …