LightBib: Marathoner Recognition System with Visible Light Communications

摘要

This paper proposes LightBib, a novel marathoner recognition system utilizing visible light communications (VLC). In our system, each runner wears a pair of light strips which transmits the runner's ID with VLC, while cameras set along the running route can be used to decode the runner's ID from the pixels in the captured images. Our transmitter utilizes a frequency shift keying modulation, sending the information with an on-off pattern at a certain frequency. Commodity rolling shutter cameras, such as consumer pocket cameras and smartphone cameras, can be used to receive the transmission. The received images can then be post-processed, where image areas corresponding to a certain runner can be detected and recognized by extracting the ID embedded in the pixels with very high accuracy. This is useful in efficiently and accurately locate the video segments with a particular runner out of a large collection of video files. Our experimental results indicate that the average recall to identify each of the 5 runners in a single image is close to 90%.