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
N1 - Funding Information:
This work was supported by KAKENHI (16K13006) and Waseda University Grant for Special Research Projects (2017K-263).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
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 - Volleyball game analysis
KW - conceptual ball state
KW - external force
KW - particle filter
KW - simultaneous estimation
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
T3 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
SP - 1
EP - 4
BT - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
Y2 - 10 December 2017 through 13 December 2017
ER -