| Title |
Tracking basketball shots – preliminary results / |
| Authors |
Širmenis, Juozas ; Lukoševičius, Mantas |
| Full Text |
|
| Is Part of |
CEUR workshop proceedings: IVUS 2021: Information society and university studies 2021: Proceedings of the 26th international conference on information society and university studies (IVUS 2021), Kaunas, Lithuania, April 23, 2021 / edited by: I. Veitaitė, A. Lopata, T. Krilavičius, M. Woźniak.. Aachen : CEUR-WS. 2021, vol. 2915, art. no. 21, p. 181-190.. ISSN 1613-0073 |
| Keywords [eng] |
single-camera ; basketball video analysis ; background subtraction ; object tracking ; ball recognition ; computer vision |
| Abstract [eng] |
In this work we present initial research results for creating a system that tracks basketball practice shots from a single camera. We investigate different background subtraction and ball recognition methods, report their accuracy on a basketball video with a static position of the camera, single shooter, ball, and board visible. This preliminary research will allow us to implement better machine-learning-based solutions, as well as annotate data for their training. |
| Published |
Aachen : CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
