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 …
Automated player identification and indexing using two-stage deep learning network
American football games attract significant worldwide attention every year. Identifying
players from videos in each play is also essential for the indexing of player participation …
players from videos in each play is also essential for the indexing of player participation …
Deep learning-based automatic player identification and logging in american football videos
American football games attract significant worldwide attention every year. Game analysis
systems generate crucial information that can help analyze the games by providing fans and …
systems generate crucial information that can help analyze the games by providing fans and …
Badminton Player's Shot Prediction Using Deep Learning
The study of object tracking has substantially advanced thanks to the development of deep
learning visual recognition and tracking methods. However, because to the additional …
learning visual recognition and tracking methods. However, because to the additional …
Video-based analysis and reporting of riding behavior in cyclocross segments
J De Bock, S Verstockt - Sensors, 2021 - mdpi.com
Video-based trajectory analysis might be rather well discussed in sports, such as soccer or
basketball, but in cycling, this is far less common. In this paper, a video processing pipeline …
basketball, but in cycling, this is far less common. In this paper, a video processing pipeline …
Exploring techniques to improve activity recognition using human pose skeletons
BN Raj, A Subramanian… - Proceedings of the …, 2020 - openaccess.thecvf.com
Human pose skeletons provide an explainable representation of the orientation of a person.
Neural network architectures such as OpenPose can estimate the 2D human pose skeletons …
Neural network architectures such as OpenPose can estimate the 2D human pose skeletons …
Human pose estimation assisted fitness technique evaluation system
JE Eivindsen, BY Kristensen - 2020 - ntnuopen.ntnu.no
Vektløfting er en populær og effektiv form for styrketrening, men denne metoden kommer
også med høy risiko for skade blant nye løftere. Hver person har ulike utfordringer når de …
også med høy risiko for skade blant nye løftere. Hver person har ulike utfordringer når de …
Towards soccer pass feasibility maps: the role of players' orientation
Once player tracking has been established as one of the main data sources in soccer, many
challenges have emerged for data scientists, who attempt to recognize patterns from 2D …
challenges have emerged for data scientists, who attempt to recognize patterns from 2D …
Real-Time Basketball Scoring and Player Performance Tracking System Utilizing AI-Powered Court Vision Technology
U Muthaiah, V Sonai, MR Kumar… - … Conference on Image …, 2023 - ieeexplore.ieee.org
Basketball is a very popular sport, and artificial intelligence (AI) has attracted a lot of
attention because it can help with player training, help coaches come up with winning …
attention because it can help with player training, help coaches come up with winning …
Basketball Shot Prediction Using 2nd Order Polynomial Regression
N Kadam, V Kadam, J Madake… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Monitoring basketball is the most important and difficult functionalities in sport's analysis
because of how fast the game moves. The purpose of this study is to describe a computer …
because of how fast the game moves. The purpose of this study is to describe a computer …