Automatic baseball pitch overlay

Ting Hsuan Chou, Wei Ta Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To provide rich viewing experience and assist pitcher training, we propose an automatic baseball pitch overlay system in this paper. Given multiple pitching video sequences, this system detects and tracks the ball to construct ball trajectories. Because of occlusion, motion blur, and background noise, the ball usually cannot be detected successfully. We propose a series of processes like initial compensation and polynomial fitting to construct complete trajectories. To make the overlay results more appealing, different sequences are weighted differently, and different trajectories are intentionally drawn in different colors. We believe this would be the first fully-automatic pitch overlay system that only takes pitching videos as inputs. Source code is at \\https://github.com/chonyy/ML-auto-baseball-pitching-overlay.

Original languageEnglish
Title of host publicationICMR 2021 - Proceedings of the 2021 International Conference on Multimedia Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages599-602
Number of pages4
ISBN (Electronic)9781450384636
DOIs
Publication statusPublished - 2021 Aug 24
Event11th ACM International Conference on Multimedia Retrieval, ICMR 2021 - Taipei, Taiwan
Duration: 2021 Nov 162021 Nov 19

Publication series

NameICMR 2021 - Proceedings of the 2021 International Conference on Multimedia Retrieval

Conference

Conference11th ACM International Conference on Multimedia Retrieval, ICMR 2021
Country/TerritoryTaiwan
CityTaipei
Period21-11-1621-11-19

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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