Cargando…
Deep Learning-Based Football Player Detection in Videos
The main task of football video analysis is to detect and track players. In this work, we propose a deep convolutional neural network-based football video analysis algorithm. This algorithm aims to detect the football player in real time. First, five convolution blocks were used to extract a feature...
Autores principales: | Wang, Tianyi, Li, Tongyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296282/ https://www.ncbi.nlm.nih.gov/pubmed/35865491 http://dx.doi.org/10.1155/2022/3540642 |
Ejemplares similares
-
Football Game Video Analysis Method with Deep Learning
por: Liu, Nian, et al.
Publicado: (2022) -
Application of Deep Learning Technology in Strength Training of Football Players and Field Line Detection of Football Robots
por: Zhou, Daliang, et al.
Publicado: (2022) -
The reliability and validity of a video-based method for assessing hamstring strength in football players
por: Lee, Justin W.Y., et al.
Publicado: (2017) -
Video Analysis of Pectoralis Major Injuries in Professional Australian Football Players
por: Schwab, Laura, et al.
Publicado: (2022) -
Automatic Detection Algorithm of Football Events in Videos
por: Jia, Yunke
Publicado: (2022)