Representative Spatial Selection and Temporal Combination for 60fps Real-Time 3D Tracking of Twelve Volleyball Players on GPU
Author:
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_1882/_pdf
Reference8 articles.
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3. [3] S. Huang, X. Zhuang, X. Cheng, N. Ikoma, M. Honda, and T. Ikenaga, “Player feature based multi-likelihood and spatial relationship based multi-view elimination with least square fitting prediction for volleyball players tracking in 3D space,” IIEEJ Trans. Image Electronics and Visual Computing, vol.4, no.2, pp.145-155, 2016.
4. [4] Z. Deng, Y. Hou, X. Cheng, and T. Ikenaga, “Multi-peak estimation for real-time 3D ping-pong ball tracking with double-queue based GPU acceleration,” IEICE Trans. Inf. & Syst., vol.E101-D, no.5, pp.1251-1259, May 2018. 10.1587/transinf.2017mvp0010
5. [5] Y. Nishikawa, H. Sato, and J. Ozawa, “Multiple sports player tracking system based on graph optimization using low-cost cameras,” IEEE International Conference on Consumer Electronics (ICCE), pp.1-4, 2018. 10.1109/icce.2018.8326126
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