An ID and Position Recognition Method Employing Camera Motion Blur for Modulated LED Tube Lights

In this paper, we present an image-based 3D positioning method by using produced motion blur for a novel camera-based indoor navigation system. This system, avoiding adopting any expensive equipment, could provide exact 3D location and orientation for mobile users. High-intensity LED tube, which is expected to be the next generation of illumination source, is used as optical marker in this system. LED tubes are modulated to transmit ID information and the message is received by handy terminal which is equipped with one normal camera. The exposure time of a common camera is usually longer than flicker period of LED lamps, and this makes difficulties for ID recognition. We study a method to solve this problem. If camera is shaken by user's hand while the period of exposure, on captured image a streaked pattern would be produced and that could be used for retrieving ID number. Result of experiment shows this method is feasible.