Although there is recent talk of how the recognition aspects of ComputerVision Software can be used by authorities, there has been less focus on the other ways in which it can also be utilized.
However, researchers at the École Polytechnique Fédérale de Lausanne Computer Vision Laboratory have discovered how to incorporate this science on the playing field. Using cameras which operate on particular algorithms, they are able to track athletes, even when they are hidden by objects or other players. The technology also works to establish the trajectory, or path, of the players, and reports the information on a screen, which identifies the players by jersey color and number. The computers also are able to use this information to “predict” what space the player is most likely to next inhabit, based on prior movements.
Image courtesy of Ecole Polytechnique Fédérale de Lausanne
In addition to tracking athletes at play, the technology can also be extended to use by artificial sportscasters, who would relate play-by-play updates based upon the information obtained by these cameras. Meanwhile, outside of the sports word, this could also be used in the fields of marketing research, as well as more specifically in observing and identifying pedestrians in traffic.