doi: 10.4304/jsw.6.8.1468-1475
A New Method for Shot Identification in Basketball Video
- College of Information Science and Technology of Qingdao University of Science and Technology, Shandong province, China
Abstract
This paper presents semantic-based shot event identification. Based on Dynamic Bayesian Network (DBN), the gap between low-lever features and high-lever semantic will be resolve. We apply the mean-shift algorithm and Kalman filter to identify and track the ball and SURF(Speed up Robust Features) to find the basketball hoop. At last the DBN is applied to identify the shot events. Experimental results have shown our proposed method is effective for basketball event detection.
Keywords
- mean-shift;
- shot
- identification;
- SURF;
- D
How to Cite
Yun Liu, Xueying Liu, and Chao Huang, "A New Method for Shot Identification in Basketball Video," Journal of Software, vol. 6, no. 8, pp. 1468-1475, 2011. https://doi.org/ 10.4304/jsw.6.8.1468-1475
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).