Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Patrick Lucey

Patrick Lucey
Chief Scientist, Stats Perform

Website | @patricklucey

Patrick Lucey is the chief scientist of artificial intelligence at Stats Perform, where his goal is to maximize the value of the 35+ years worth of sports data. His main research interests are in artificial intelligence and interactive machine learning in sporting domains. Previously, Patrick spent five years at Disney Research, where he conducted research into automatic sports broadcasting using large amounts of spatiotemporal tracking data, and was a postdoctoral researcher at the Robotics Institute at Carnegie Mellon University and the Department of Psychology at the University of Pittsburgh, conducting research on automatic facial expression recognition. He holds a BEng (EE) from the University of Southern Queensland and a PhD from QUT, Australia. He was a coauthor of the best paper at the 2016 MIT Sloan Sports Analytics Conference and in 2017 and 2018 was coauthor of best paper runner-up at the same conference. Patrick has also won best paper awards at the INTERSPEECH (2007) and the Winter Conference on Applications of Computer Vision (WACV) (2014) international conferences.

Sessions

10:00am–10:30am Tuesday, March 26, 2019
Sports analytics in the wild using player-tracking data
Location: 2022
Patrick Lucey (Stats Perform)
Average rating: *****
(5.00, 4 ratings)
Patrick Lucey describes methods to find play similarity using multiagent trajectory data and predict fine-grained plays, using examples using STATS SportVU data in basketball and soccer. Patrick then discusses how to go beyond center-of-mass tracking (i.e., dots) and capture body-pose information from broadcast video to take analysis to the next level. Read more.