关键词: TLD算法, ORB算法, 长时跟踪, 注册区域检测, 长时注册

Abstract:

In view of the requirements of long-term tracking registration in Augmented Reality（AR） system and the problems of registration failure easily caused by complex environment such as scale change, illumination change and internal and external rotation of registration area in 3D tracking registration, an AR long-term 3D registration method is proposed to improve Tracking-Learning-Detection（TLD） tracking and Oriented FAST and Rotated BRIEF（ORB） detection. The TLD long-term robust tracking algorithm is used to track the registration area, and the adaptive dynamic detection strategy is used to optimize the real-time performance and precision of the tracking learning detection structure mechanism of the TLD algorithm. Then, the ORB algorithm is used to detect the registered location and calculate the 3D registration matrix. Finally, the virtual information is superimposed on the registration location. The experimental results show that compared with TLD algorithm, the improved TLD long-term tracking algorithm can improve the accuracy of One-Pass Evaluation（OPE） by about 5% and the tracking rate of the location to be registered is increased by about 2 times, which makes the AR system have better stability and robustness in the complex environment.