Baseball4D: A tool for baseball game reconstruction & visualization

Carlos Dietrich, David Koop, Huy T. Vo, Claudio T. Silva

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

Abstract

While many sports use statistics and video to analyze and improve game play, baseball has led the charge throughout its history. With the advent of new technologies that allow all players and the ball to be tracked across the entire field, it is now possible to bring this understanding to another level. From discrete positions across time, we present techniques to reconstruct entire baseball games and visually explore each play. This provides opportunities to not only derive new metrics for the game, but also allow us to investigate existing measures with targeted visualizations. In addition, our techniques allow users to filter on demand so specific situations can be analyzed both in general and according to those situations. We show that gameplay can be accurately reconstructed from the raw position data and discuss how visualization and statistical methods can combine to better inform baseball analyses.

Original languageEnglish (US)
Title of host publication2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings
EditorsMin Chen, David Ebert, Chris North
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages23-32
Number of pages10
ISBN (Electronic)9781479962273
DOIs
StatePublished - Feb 13 2015
Event2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Paris, France
Duration: Oct 9 2014Oct 14 2014

Publication series

Name2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings

Other

Other2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
CountryFrance
CityParis
Period10/9/1410/14/14

Keywords

  • baseball
  • baseball metrics
  • event data
  • game reconstruction
  • sports analytics
  • sports visualization

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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