Identifying Basketball Plays from Sensor Data; Towards a Low-Cost Automatic Extraction of Advanced Statistics

By Adrià Arbués Sangüesa, Thomas Baltzer Moeslund, Chris H. Bahnsen, Raul Benitez Iglesias. 2017

15 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jiajun Wu
2. Josh Tenenbaum
3. Chen Sun
4. Kevin P. Murphy
5. Cordelia Schmid
6. Mohit Bansal
7. Per Karlsson
8. Alan L. Yuille

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Jitendra Malik
3. Cordelia Schmid
4. Andrea Vedaldi
5. Ming-Hsuan Yang
6. Trevor Darrell
7. Jiajun Wu
8. Andrew Zisserman

Citations in the corpus

• Stochastic Prediction of Multi-Agent Interactions from Partial Observations (2019, background): “Although specialized solutions to state estimation for basketball and soccer already exist (e.g., based on wearable sensors (Sanguesa, 2017), multiple calibrated cameras (Manafifard et al., 2017), or complex monocular vision pipelines (Rematas et al., 2018)), we are interested in seeing how far we…”