Target Tracking Simulation for Unmarked Augmented Reality System Based on KCF

Authors

Zhili Zhang, 1. Missile Engineering Academy of Rocket Force Engineering University , Xi'an 710038, China; ;
Wang Chao, 1. Missile Engineering Academy of Rocket Force Engineering University , Xi'an 710038, China; ;
Long Yong, 2. China Aerospace Science and Engineering System Simulation Technology Company Ltd, Beijing 100095, China;
Shaodi Wang, 1. Missile Engineering Academy of Rocket Force Engineering University , Xi'an 710038, China; ;

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.

Recommended Citation

Zhang, Zhili; Chao, Wang; Yong, Long; and Wang, Shaodi (2019) "Target Tracking Simulation for Unmarked Augmented Reality System Based on KCF," Journal of System Simulation: Vol. 30: Iss. 11, Article 49.
DOI: 10.16182/j.issn1004731x.joss.201811049
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/49

First Page

4462

Revised Date

2018-07-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811049

Last Page

4468

CLC

TP391.9

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.201811049