COMPUTER VISION BASED HYBRID TRACKING FOR AUGMENTED REALITY IN OUTDOOR URBAN ENVIRONMENTS

摘要

A computer vision based hybrid tracking system integrates computer vision, global positioning services and inertial sensing to provide robust, accurate and jitter- free augmentation in outdoor environments. The hybrid tracking system operates in two phases: configuration phase followed by tracking phase. In configuration phase, the hybrid tracking system selects a reference frame from an input video sequence captured by a camera and detects feature signatures of each planar surface of objects in the reference frame. In tracking phase, the hybrid tracking system uses the selected reference frame and detected feature signatures from configuration phase to estimate 3D positions and orientations of objects in the video sequence relative to camera motion.