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A deep learning ball tracking system in soccer videos

  • Published:2019-03 Issue:1 Volume:27 Page:58-69
  • ISSN:1230-3402
  • Container-title:Opto-Electronics Review
  • language:en
  • Short-container-title:Opto-Electronics Review

Author:

Kamble P.R.,Keskar A.G.,Bhurchandi K.M.

Funder

Ministry of Electronics and Information Technology (MeitY), Government of India

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Radiation,General Materials Science

Reference54 articles.

1. World Cup 2018 Breaks Viewing Records Across Streaming Platforms as Soccer Fans Tune in;World Cup 2018,2018

2. Ball tracking in sports: a survey;Kamble;Artif. Intell. Rev.,2017

3. Physics-based 3D position analysis of a soccer ball from monocular image sequences, computer vision;Kim,1998

4. 3D Trajectories from a Single Viewpoint Using Shadows;Reid,1998

5. Tracking players and estimation of the 3D position of a ball in soccer games;Ohno,2000

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