Sports Field Localization using Memory Networks

  • Pascale B. Walters
  • David Clausi
  • Alexander Wong

Abstract

Sports analytics derived automatically from broadcast footage is a
growing interest because it provides advantageous data to teams
without the need for specialized equipment or trained staff. A fundamental step in automating sports video analytics extraction is registering the playing surface and transforming the broadcast footage
to a top-down view. In this paper, a novel method is presented
that performs automatic top-down registration of sports fields using
temporal information. Using richer input data will increase the performance of the network and will not require an additional correction
network.

Published
2020-01-02
How to Cite
Walters, P., Clausi, D., & Wong, A. (2020). Sports Field Localization using Memory Networks. Journal of Computational Vision and Imaging Systems, 5(1), 2. Retrieved from https://openjournals.uwaterloo.ca/index.php/vsl/article/view/1656