Human motion tracking and positioning for augmented reality
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SPECIAL ISSUE PAPER
Human motion tracking and positioning for augmented reality Shaojun Yue1 Received: 16 November 2019 / Accepted: 6 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract AR (Augmented reality) is a research hotspot in the current computer application field. AR technology enhances people’s understanding and experience of the real environment by adding virtual objects to real scenes to integrate virtual objects with the real environment. Aiming at the weak processing power of intelligent terminals and the characteristics of limited hardware resources, this paper proposes a more effective human motion feature extraction and descriptor algorithm. The feature point detection and positioning method suitable for intelligent terminals is proposed in a targeted manner, which solves the problem of mismatching of similar structures. In addition, this paper proposes an AR-oriented recursive tracking algorithm for human motion. The positional relationship of the current frame is calculated from the position of the previous frame. A combination of ORB (Oriented fast and Rotated Brief) feature descriptors and KLT (Kanade-Lucas-Tomasi) algorithm is adopted. The ORB feature descriptor matched by the first frame image and the reference image is tracked by the KLT tracking algorithm, and the feature descriptor of the previous frame is tracked in the current frame, thereby eliminating the phenomenon of virtual object jitter. The experimental results show that the recursive tracking scheme has better performance in time and precision than the detection tracking scheme. Keywords AR · Feature extraction and matching · Tracking and localization · KLT algorithm
1 Introduction AR (Augmented reality) is a technology developed on the basis of virtual reality [1]. Its purpose is to accurately superimpose computer-generated virtual objects into real scenes and realize the seamless integration of real and virtual scenes to complete the real scene. In the AR system, the computer analyzes and processes the real world directly observed by the user, and correctly superimposes the generated virtual enhanced information into the real world, thereby seamlessly integrating the virtual enhanced information with the real world [2, 3]. In this way, what the user observes through the handheld device or the AR display device is a picture in which a virtual object is completely merged with the real scene, thereby assisting the user in the recognition of the real world, and the interaction between the user and the virtual object can be greatly improved.
* Shaojun Yue [email protected] 1
Department of Physical Education, Henan Institute of Technology, Xinxiang 453003, Henan, China
The AR technology tracks the user’s position in the real scene, “superimposes” computer-generated graphic images and sound and other information on the real world perceived by the user, and uses these auxiliary information to enhance the user’s ability to perceive the real scene. AR technology will have very broad applicati
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