Vectorized data combination and binary search oriented reweight for CPU-GPU based real-time 3D ball tracking

Ziwei Deng, Yilin Hou, Xina Cheng, Takeshi Ikenaga

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

3D ball tracking is of great significance to sports analysis, which can be utilized to applications such as TV contents and tactic analysis. Some applications require real-time implementation, but a highly accurate tracking algorithm is usually time-consuming. This paper proposes a CPU-GPU platform based particle filter for multi-view ball tracking, including 2 proposals: vectorized mask data combination and binary search oriented reweight. The vectorized masks data combination unites HSV mask and inter-frame subtraction mask into one to reduce memory access time. The binary search oriented reweight helps getting and saving reweighted data with low complexity which could directly be used for binary search. The proposed methods are evaluated by both tracking accuracy and execution time. Experiment is based on GPU, the AMD R9 Fury, and compared to the serial implementation on CPU. The tracking accuracy keeps the same, while the execution time is reduced by a factor of 13.

本文言語English
ホスト出版物のタイトルAdvances in Multimedia Information Processing – PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers
編集者Bing Zeng, Hongliang Li, Qingming Huang, Abdulmotaleb El Saddik, Shuqiang Jiang, Xiaopeng Fan
出版社Springer Verlag
ページ508-516
ページ数9
ISBN(印刷版)9783319773827
DOI
出版ステータスPublished - 2018
イベント18th Pacific-Rim Conference on Multimedia, PCM 2017 - Harbin, China
継続期間: 2017 9 282017 9 29

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10736 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other18th Pacific-Rim Conference on Multimedia, PCM 2017
国/地域China
CityHarbin
Period17/9/2817/9/29

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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