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Sword tracer: visualization of sword trajectories in fencing

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Published:12 August 2018Publication History

ABSTRACT

This paper describes a system for visualizing sword trajectories in fencing. Fencing swords are very thin and move so fast that it is difficult for audiences to follow their movements even in slow-motion video replays. The system thus tracks the tips of the swords in the image coordinates and visualizes their movements with computer graphics (CG). We call it "Sword Tracer."

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References

  1. G. Anusha and E. G. Jule. 2014. Improving the performance of video tracking using SVM. In Proceedings of the International Journal of Engineering Trends and Technology (IJETT), Vol.11, No.3. 133--139.Google ScholarGoogle ScholarCross RefCross Ref
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  6. M. Tang and J. Feng. 2015. Multi-kernel correlation filter for visual tracking. In In Proceedings of the International Conference on Computer Vision (ICCV). 3038--3046. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Sword tracer: visualization of sword trajectories in fencing

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '18: ACM SIGGRAPH 2018 Talks
      August 2018
      158 pages
      ISBN:9781450358200
      DOI:10.1145/3214745

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 August 2018

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      • invited-talk

      Acceptance Rates

      Overall Acceptance Rate1,822of8,601submissions,21%

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