@article{Walters_Clausi_Wong_2020, title={Sports Field Localization using Memory Networks}, volume={5}, url={https://openjournals.uwaterloo.ca/index.php/vsl/article/view/1656}, abstractNote={<p>Sports analytics derived automatically from broadcast footage is a<br>growing interest because it provides advantageous data to teams<br>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<br>to a top-down view. In this paper, a novel method is presented<br>that performs automatic top-down registration of sports fields using <br>temporal information. Using richer input data will increase the performance of the network and will not require an additional correction<br>network.</p>}, number={1}, journal={Journal of Computational Vision and Imaging Systems}, author={Walters, Pascale B. and Clausi, David and Wong, Alexander}, year={2020}, month={Jan.}, pages={2} }