Barcode-Assisted Planar Object Tracking Method for Mobile Augmented Reality

In this paper, we propose a planar target tracking method that exploits a barcode containing information about a target. Our method combines both barcode detection and natural feature tracking methods to track a planar object efficiently on mobile devices. A planar target is detected by recognizing the barcode located near the target, and the target´s keypoints are tracked in video sequences. We embed the information related to a planar object into the barcode, and the information is used to limit image regions to perform keypoint matching between consecutive frames. We show how to detect a barcode robustly and what information is embedded for efficient tracking. Our detection method runs at 30 fps on modern mobile devices, and it can be used for mobile augmented reality applications using planar targets.