Target Tracking Simulation for Unmarked Augmented Reality System Based on KCF

doi:10.16182/j.issn1004731x.joss.201811049

Abstract

Abstract: An AR system based on the kernelized correlation filter (KCF) target tracking is designed for solving the problem of the insufficiency of tracking in the unmarked augmented reality (AR). The KCF is used to identify and track the targets. The relevant parameters of the camera position are imported. The openGL graphical program interface is called to load the precast object onto the target. The KCF simulation experiment is carried out to track the target with visual studio. The results show that the AR application system based on KCF method can effectively improve the real-time performance of target tracking, and render 40 frames per second (FPS), which effectively meet the requirements of AR in the system to distinguish between frames.

Key words: augmented reality, KCF, target tracking, visual studio, openGL

CLC Number:

TP391.9

Zhang Zhili, Wang Chao, Long Yong, Wang Shaodi. Target Tracking Simulation for Unmarked Augmented Reality System Based on KCF[J]. Journal of System Simulation, 2018, 30(11): 4462-4468.

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