DeepBall: Deep Neural-Network Ball Detector
Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas
2019
Abstract
The paper describes a deep network based object detector specialized for ball detection in long shot videos. Due to its fully convolutional design, the method operates on images of any size and produces ball confidence map encoding the position of detected ball. The network uses hypercolumn concept, where feature maps from different hierarchy levels of the deep convolutional network are combined and jointly fed to the convolutional classification layer. This allows boosting the detection accuracy as larger visual context around the object of interest is taken into account. The method achieves state-of-the-art results when tested on publicly available ISSIA-CNR Soccer Dataset.
DownloadPaper Citation
in Harvard Style
Komorowski J., Kurzejamski G. and Sarwas G. (2019). DeepBall: Deep Neural-Network Ball Detector. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 297-304. DOI: 10.5220/0007348902970304
in Bibtex Style
@conference{visapp19,
author={Jacek Komorowski and Grzegorz Kurzejamski and Grzegorz Sarwas},
title={DeepBall: Deep Neural-Network Ball Detector},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={297-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007348902970304},
isbn={978-989-758-354-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - DeepBall: Deep Neural-Network Ball Detector
SN - 978-989-758-354-4
AU - Komorowski J.
AU - Kurzejamski G.
AU - Sarwas G.
PY - 2019
SP - 297
EP - 304
DO - 10.5220/0007348902970304
PB - SciTePress