Abstract
Automatically extraction of accurate volleyball game data from game videos plays an important role in making contribution to game data analysis, TV broadcasting and performance evaluations. In this paper, a particle filter based physical and conceptual ball state estimation method is proposed to track the 3D ball trajectory and ball event simultaneously with high accuracy. The physical ball state includes 3D ball position and velocity. Besides the ball event, the conceptual state also includes flag of the external force on the ball. The system model is adaptive to this external force predicted through proposed spatial hitting points dense distribution. Observation of the external force is evaluated by hitting point likelihood, which uses not only the past tracked trajectory but also the image noise feature so that image noise is transferred into useful feature and unidirectional dependency on trajectory is avoided. Experimental results based on multi-view HDTV video sequences show the tracking success rate of ball state achieves 92.43%.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-4 |
| Number of pages | 4 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781538604625 |
| DOIs | |
| Publication status | Published - 2018 Feb 28 |
| Event | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States Duration: 2017 Dec 10 → 2017 Dec 13 |
Other
| Other | 2017 IEEE Visual Communications and Image Processing, VCIP 2017 |
|---|---|
| Country | United States |
| City | St. Petersburg |
| Period | 17/12/10 → 17/12/13 |
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Keywords
- conceptual ball state
- external force
- particle filter
- simultaneous estimation
- Volleyball game analysis
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
Cite this
Simultaneous physical and conceptual ball state estimation in volleyball game analysis. / Cheng, Xina; Ikoma, Norikazu; Honda, Masaaki; Ikenaga, Takeshi.
2017 IEEE Visual Communications and Image Processing, VCIP 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Simultaneous physical and conceptual ball state estimation in volleyball game analysis
AU - Cheng, Xina
AU - Ikoma, Norikazu
AU - Honda, Masaaki
AU - Ikenaga, Takeshi
PY - 2018/2/28
Y1 - 2018/2/28
N2 - Automatically extraction of accurate volleyball game data from game videos plays an important role in making contribution to game data analysis, TV broadcasting and performance evaluations. In this paper, a particle filter based physical and conceptual ball state estimation method is proposed to track the 3D ball trajectory and ball event simultaneously with high accuracy. The physical ball state includes 3D ball position and velocity. Besides the ball event, the conceptual state also includes flag of the external force on the ball. The system model is adaptive to this external force predicted through proposed spatial hitting points dense distribution. Observation of the external force is evaluated by hitting point likelihood, which uses not only the past tracked trajectory but also the image noise feature so that image noise is transferred into useful feature and unidirectional dependency on trajectory is avoided. Experimental results based on multi-view HDTV video sequences show the tracking success rate of ball state achieves 92.43%.
AB - Automatically extraction of accurate volleyball game data from game videos plays an important role in making contribution to game data analysis, TV broadcasting and performance evaluations. In this paper, a particle filter based physical and conceptual ball state estimation method is proposed to track the 3D ball trajectory and ball event simultaneously with high accuracy. The physical ball state includes 3D ball position and velocity. Besides the ball event, the conceptual state also includes flag of the external force on the ball. The system model is adaptive to this external force predicted through proposed spatial hitting points dense distribution. Observation of the external force is evaluated by hitting point likelihood, which uses not only the past tracked trajectory but also the image noise feature so that image noise is transferred into useful feature and unidirectional dependency on trajectory is avoided. Experimental results based on multi-view HDTV video sequences show the tracking success rate of ball state achieves 92.43%.
KW - conceptual ball state
KW - external force
KW - particle filter
KW - simultaneous estimation
KW - Volleyball game analysis
UR - http://www.scopus.com/inward/record.url?scp=85050641411&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050641411&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2017.8305067
DO - 10.1109/VCIP.2017.8305067
M3 - Conference contribution
AN - SCOPUS:85050641411
VL - 2018-January
SP - 1
EP - 4
BT - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -