Sports Field Localization using Memory Networks

  • Pascale B. Walters
  • David Clausi
  • Alexander Wong


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

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