Trajectory Estimation of the Players and Shuttlecock for the Broadcast Badminton Videos
Summary :
To track the players and shuttlecock in broadcast badminton video is a challenge, especially for tracking the small size and fast moving shuttlecock. There are many situations that may cause occlusion or misdetection. In this paper, a method is proposed to track players and shuttlecock in broadcast badminton videos. We apply adaptive Kalman filter, trajectory confidence estimation and confidence-update (Location Similarity and Relative Motion Relation, RMR) to improve the accuracy of object trajectories. In our experiments, the proposed method significantly enhance the tracking success rate of players and shuttlecock.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.10 pp.1730-1734
- Publication Date
- 2018/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.1730
- Type of Manuscript
- LETTER
- Category
- Image
Authors
Yen-Ju LIN
National Defense University
Shiuh-Ku WENG
National Defense University
Keyword
Latest Issue
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Yen-Ju LIN, Shiuh-Ku WENG, "Trajectory Estimation of the Players and Shuttlecock for the Broadcast Badminton Videos" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 10, pp. 1730-1734, October 2018, doi: 10.1587/transfun.E101.A.1730.
Abstract: To track the players and shuttlecock in broadcast badminton video is a challenge, especially for tracking the small size and fast moving shuttlecock. There are many situations that may cause occlusion or misdetection. In this paper, a method is proposed to track players and shuttlecock in broadcast badminton videos. We apply adaptive Kalman filter, trajectory confidence estimation and confidence-update (Location Similarity and Relative Motion Relation, RMR) to improve the accuracy of object trajectories. In our experiments, the proposed method significantly enhance the tracking success rate of players and shuttlecock.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1730/_p
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@ARTICLE{e101-a_10_1730,
author={Yen-Ju LIN, Shiuh-Ku WENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Trajectory Estimation of the Players and Shuttlecock for the Broadcast Badminton Videos},
year={2018},
volume={E101-A},
number={10},
pages={1730-1734},
abstract={To track the players and shuttlecock in broadcast badminton video is a challenge, especially for tracking the small size and fast moving shuttlecock. There are many situations that may cause occlusion or misdetection. In this paper, a method is proposed to track players and shuttlecock in broadcast badminton videos. We apply adaptive Kalman filter, trajectory confidence estimation and confidence-update (Location Similarity and Relative Motion Relation, RMR) to improve the accuracy of object trajectories. In our experiments, the proposed method significantly enhance the tracking success rate of players and shuttlecock.},
keywords={},
doi={10.1587/transfun.E101.A.1730},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Trajectory Estimation of the Players and Shuttlecock for the Broadcast Badminton Videos
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1730
EP - 1734
AU - Yen-Ju LIN
AU - Shiuh-Ku WENG
PY - 2018
DO - 10.1587/transfun.E101.A.1730
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2018
AB - To track the players and shuttlecock in broadcast badminton video is a challenge, especially for tracking the small size and fast moving shuttlecock. There are many situations that may cause occlusion or misdetection. In this paper, a method is proposed to track players and shuttlecock in broadcast badminton videos. We apply adaptive Kalman filter, trajectory confidence estimation and confidence-update (Location Similarity and Relative Motion Relation, RMR) to improve the accuracy of object trajectories. In our experiments, the proposed method significantly enhance the tracking success rate of players and shuttlecock.
ER -
English
