3D Global and Multi-View Local Features Combination Based Qualitative Action Recognition for Volleyball Game Analysis-Reference-Cited by-同舟云学术

3D Global and Multi-View Local Features Combination Based Qualitative Action Recognition for Volleyball Game Analysis

Published:2019-12-01 Issue:12 Volume:E102.A Page:1891-1899
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

CHENG Xina¹²,LIU Yang²,IKENAGA Takeshi²

Affiliation:

1. School of Artificial Intelligence, Xidian University

2. Graduate School of Information, Product and Systems, Waseda University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E102.A/12/E102.A_1891/_pdf

Reference12 articles.

1. [1] https://www.dataproject.com/Products/EN/en/Volleyball/DataVolley4

2. [2] G. Zhu, C. Xu, Q. Huang, and W. Gao, “Action recognition in broadcase tennis vide,” IEEE 18th Internaltional Conference on Pattern Recognition, pp.251-254, Aug. 2006. 10.1109/icpr.2006.205

3. [3] H.-T. Chen, H.-S. Chen, and S.-Y. Lee, “Physics-based ball tracking in volleyball videos with its applications to set type recognition and action detection,” IEEE International Conference on Acoustics, Speech and Signal Processing, April 2007. 10.1109/icassp.2007.366103

4. [4] E. Kubota, M. Honda, and T. Ikenaga, “Action detection of volleyball using features based on clustering of body trajectories,” Technical Report of IIEEJ, vol.272, iii,35, 36, Feb. 2015 (in Japanese).

5. [5] Y. Liu, S. Huang, X. Cheng, and T. Ikenaga, “3D global trajectory and multi-view local motion combined player action recognition in volleyball analysis,” Pacific-Rim Conference on Multimedia (PCM), Sept. 2018. 10.1007/978-3-030-00764-5_13

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