Fast Vision-Based Camera Tracking for Augmented Environments

Abstract

This article describes a fast and stable camera tracking method aimed for real-time augmented reality applications. From the feature tracking of a known marker on a single frame, we estimate the camera position and translation parameters. The entire pose estimation process is linear and initial estimates are not required. As an experimental setup, we implemented a video augmentation system to replace detected markers with virtual 3D graphical objects. Experimental results showed that the proposed camera tracking method is robust and fast applicable to interactive augmented reality applications.