Robotic Cameras Learn To Follow Basketball

Courtside cameras could be computer-controlled sooner than you think

2 min read
Basketball game between the Chicago Bulls and the Utah Jazz
Basketball games move fast, but new algorithms could help robotic cameras keep up with the action.
Charles Rex Arbogast/AP Photo

We’re getting used to the idea of robots taking our jobs in fields like manufacturing, but should a courtside cameraman for the NBA be worried? Until recently, that seemed like a safe gig to stay in human hands. But last weekened, Disney Research scientists reported that they’ve made strides in teaching automated cameras to track the action of a basketball game the same way a human camera operator does. 

While AI-operated cameras are not exactly groundbreaking, there’s a lot of room for improvement in the systems. That’s especially the case when it comes to fast-paced events like basketball games. Training a robotic camera to simply follow the ball results in jerky camera motions that can make a game hard to watch. That’s a concern for Disney, which owns ESPN and has a vested interest in presenting live sporting events at their finest.

At Disney Research, engineer Peter Carr and PhD student Jianhui Chen aimed to teach robotic cameras how to follow the game more like professional camera operators by anticipating where the ball is going to be rather than trying to keep an eye on where it is. 

"We don't use any direct information about the ball's location because tracking the ball with a single camera is difficult," Carr said in a statement. "But players are coached to be in the right place at the right time, so their formations usually give strong clues about the ball's location."

Carr and Chen’s system breaks the basketball court down into quadrants, and tracks the motion in those quadrants to create a map of where players are. That map provides the data an automated camera needs to predict where those players will be next, letting the camera setup shots of the action on the court instead of trying to react to it.

The algorithm can’t appreciate the grace of a pull-up jumper or the teamwork that goes into a well-executed pick and roll—yet. It is getting better at identifying what’s likely to happen next in a game, though. In a test conducted at a high school basketball game, though, stationary robotic camera closely aped the pans, tilts and zooms of a human operator filming the same game. Carr and Chen presented their first findings over the weekend at the IEEE Winter Conference on Applications of Computer Vision, and you can take a look at the results here.

The algorithm has only been tested on basketball so far, but Carr and Chen hope that it can be adapted to other sports as it is developed further. So someday soon, computers may not just be better at playing games like poker and beer pong than we are. They may even be better at watching them. 

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The Bionic-Hand Arms Race

The prosthetics industry is too focused on high-tech limbs that are complicated, costly, and often impractical

12 min read
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A photograph of a young woman with brown eyes and neck length hair dyed rose gold sits at a white table. In one hand she holds a carbon fiber robotic arm and hand. Her other arm ends near her elbow. Her short sleeve shirt has a pattern on it of illustrated hands.

The author, Britt Young, holding her Ottobock bebionic bionic arm.

Gabriela Hasbun. Makeup: Maria Nguyen for MAC cosmetics; Hair: Joan Laqui for Living Proof
DarkGray

In Jules Verne’s 1865 novel From the Earth to the Moon, members of the fictitious Baltimore Gun Club, all disabled Civil War veterans, restlessly search for a new enemy to conquer. They had spent the war innovating new, deadlier weaponry. By the war’s end, with “not quite one arm between four persons, and exactly two legs between six,” these self-taught amputee-weaponsmiths decide to repurpose their skills toward a new projectile: a rocket ship.

The story of the Baltimore Gun Club propelling themselves to the moon is about the extraordinary masculine power of the veteran, who doesn’t simply “overcome” his disability; he derives power and ambition from it. Their “crutches, wooden legs, artificial arms, steel hooks, caoutchouc [rubber] jaws, silver craniums [and] platinum noses” don’t play leading roles in their personalities—they are merely tools on their bodies. These piecemeal men are unlikely crusaders of invention with an even more unlikely mission. And yet who better to design the next great leap in technology than men remade by technology themselves?

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