This article takes the basketball game video with high attention in sports video as an
example to analyze the feature extraction of basketball game video, improve the gray neural …

In basketball training, the analysis of athletes can visually show the performance of athletes
for coaches, formulate corresponding training plans, and improve team performance. With …

At present, more and more sports science and technology are being explored and applied in
competitive sports. The birth and popularization of video tracking and capturing technology …

Finding your favorite videos from massive sports video data has become a big demand for
users, accurate sports videos can better help people learn sports content, and the traditional …

Soccer player video target tracking is a very challenging task, which has good practical and
commercial value. Traditional soccer game target tracking relies on athletes to carry a …

In modern sports training, collecting and analyzing basketball player's posture data is of
great significance for improving the scientific of the coach's training plan and improving the …

The object tracking is an important task to future generations to find accurate information
from frame (sports or any cctv). The available models like RFO, DT, Xboosting, Gradient …

The hand and club movements contain golfer's swing information, which can be obtained to
provide good visualization to be shared on Internet and be summarized in golf studying. In …

The existing motion recognition system has a low athlete tracking recognition accuracy due
to the poor processing effect of recognition algorithm for edge detection. A machine vision …

During a basketball game, the ball moves are dynamic, and it is very hard for athletes and
trainers to track every move of the ball. An accurate image tracking of a basketball flight path …