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As Seen on TV: Automatic Basketball Video Production Using Gaussian-Based Actionness and Game States Recognition
AbstractAutomatic video production of sports aims at producing an aesthetic broadcast of sporting events. We present a new video system able to automatically produce a smooth and pleasant broadcast of Basketball games using a single fixed 4K camera. The system automatically detects and localizes players, ball and referees, to recognize main action coordinates and game states yielding to a professional cameraman-like production of the basketball event. We also release a fully annotated dataset consisting of single 4K camera and twelve-camera videos of basketball games.
Related Material
[pdf] [video][bibtex]@InProceedings{Quiroga_2020_CVPR_Workshops,
author = {Quiroga, Julian and Carrillo, Henry and Maldonado, Edisson and Ruiz, John and Zapata, Luis M.},
title = {As Seen on TV: Automatic Basketball Video Production Using Gaussian-Based Actionness and Game States Recognition},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
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