Development of Wheelchair Basketball Player Tracker Using LED and Omni-camera

Abstract

This paper describes the development of a tracker for basketball wheelchair players using special flashing LEDs and an omnidirectional camera. Our previous trackers required some image processing to find multiple LEDs in the video captured by the omnidirectional camera. The problem was that these image processes were time consuming. This study uses convolutional neural networks to reduce the time it takes to find multiple LEDs in that video.