The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Rastrear os jogadores e a peteca na transmissão de vídeo de badminton é um desafio, especialmente para rastrear o tamanho pequeno e a peteca de movimento rápido. Existem muitas situações que podem causar oclusão ou detecção incorreta. Neste artigo, é proposto um método para rastrear jogadores e petecas em vídeos transmitidos de badminton. Aplicamos filtro de Kalman adaptativo, estimativa de confiança de trajetória e atualização de confiança (similaridade de localização e relação de movimento relativo, RMR) para melhorar a precisão das trajetórias dos objetos. Em nossos experimentos, o método proposto aumenta significativamente a taxa de sucesso de rastreamento de jogadores e petecas.
Yen-Ju LIN
National Defense University
Shiuh-Ku WENG
National Defense University
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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},}
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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 -