Identifying players in broadcast videos using graph convolutional network-Reference-Cited by-同舟云学术

Identifying players in broadcast videos using graph convolutional network

Published:2022-04 Issue: Volume:124 Page:108503
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Feng Tao,Ji Kaifan,Bian Ang,Liu Chang,Zhang Jianzhou

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference48 articles.

1. A new unified method for detecting text from marathon runners and sports players in video;Nag;Pattern Recognit.,2020

2. Detecting events and key actors in multi-person videos;Ramanathan,2016

3. Real-time event classification in field sport videos;Kapela;Signal Process. Image Commun.,2015

4. Deephoops: Evaluating micro-actions in basketball using deep feature representations of spatio-temporal data;Sicilia,2019

5. Ontology-based global and collective motion patterns for event classification in basketball videos;Wu;IEEE Trans. Circuits Syst. Video Technol.,2020

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