Infrared Marker-Based Tracking in an Indoor Unknown Environment for Augmented Reality Applications

摘要

Marker based tracking requires complicated preparation work that impedes its use in augmented reality applications. This paper presents a novel tracking scheme to be used in an indoor unknown scene by adapting simultaneous localization and mapping (SLAM) algorithms. An infrared (IR) marker system is specifically designed to simplify the feature recognition and tracking in SLAM process. With one initial IR marker, the other markers can be projected randomly onto a large-area environment. The pose of camera can be estimated with a monocular IR camera in real time. Experimental result demonstrates that the proposed system meets the requirements of accuracy for large-area tracking. A prototype system is built to show its feasibility in unknown environment and potential use in applications.