Sign In

Communications of the ACM

ACM TechNews

How Olympic Tracking Systems Capture Athletic Performances

View as: Print Mobile App Share:
Erriyon Knighton and Noah Lyles competing in the 2020 U.S. Olympic Track & Field Team Trials last month in Eugene, OR.

This years Olympic Games may be closed to most spectators because of COVID-19, but the eyes of the world are still on the athletes thanks to cameras and other equipment recording every leap, dive, and flip.

Credit: Patrick Smith/Getty Images

This year's Olympic Games in Tokyo use an advanced three-dimensional (3D) tracking system that captures athletes' performances in fine detail.

Intel's 3DAT system sends live camera footage to the cloud, where artificial intelligence (AI) uses deep learning to analyze an athlete's movements and identify key performance traits like top speed and deceleration.

3DAT shares this information with viewers as slow-motion graphic representations of the action in less than 30 seconds.

Intel's Jonathan Lee and colleagues trained the AI on recorded footage of elite track and field athletes, with all body parts annotated; the model could then link the video to a simplified rendering of an athlete's form.

The AI can track this "skeleton" and calculate the position of each athlete's body in three dimensions as it moves through an event.

From Scientific American
View Full Article


Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account