A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Use of deep learning in soccer videos analysis: survey
The demand for video analysis has been rapidly increasing in the last decade. Video
analysis plays a critical role in various technologies, including medical diagnosis, security …
analysis plays a critical role in various technologies, including medical diagnosis, security …
Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos
Tracking objects in soccer videos is extremely important to gather both player and team
statistics, whether it is to estimate the total distance run, the ball possession or the team …
statistics, whether it is to estimate the total distance run, the ball possession or the team …
A survey on video action recognition in sports: Datasets, methods and applications
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …
approach. Compared with image-based action recognition, videos provide much more …
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset
Data analysis for athletic performance optimization and injury prevention is of tremendous
interest to sports teams and the scientific community. However, sports data are often sparse …
interest to sports teams and the scientific community. However, sports data are often sparse …
A survey of deep learning in sports applications: Perception, comprehension, and decision
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …
ranging from perception and comprehension to decision. This paper presents a …
Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
An image classification algorithm for football players' activities using deep neural network
X Li, R Ullah - Soft Computing, 2023 - Springer
Football (soccer) stands as the world's most popular sport, enthralling millions of fans
globally. Within the dynamic sphere of modern football, gaining comprehensive insights into …
globally. Within the dynamic sphere of modern football, gaining comprehensive insights into …
MV-Soccer: Motion-Vector Augmented Instance Segmentation for Soccer Player Tracking
This work presents a novel real-time detection instance segmentation and tracking approach
for soccer videos. Unlike conventional methods we augment video frames by incorporating …
for soccer videos. Unlike conventional methods we augment video frames by incorporating …
A unified taxonomy and multimodal dataset for events in invasion games
The automatic detection of events in complex sports games like soccer and handball using
positional or video data is of large interest in research and industry. One requirement is a …
positional or video data is of large interest in research and industry. One requirement is a …