Error elimination method in moving target tracking in real-time augmented reality
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SPECIAL ISSUE PAPER
Error elimination method in moving target tracking in real‑time augmented reality Yingjie Shi1 · Zijian Zhao2 Received: 1 June 2020 / Accepted: 30 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract This paper proposes an augmented reality interactive method based on improved Kinect sensor commands to eliminate the tracking error of moving targets. Designed posture tracking architecture. Experiments show that the above two types of algorithms can meet the needs of the project and have certain light resistance. Among them, the algorithm based on feature points has certain advantages in speed and requires fewer manual processing steps. In this case, it is necessary to combine the previous algorithm to solve the posture, use the optical flow method to track the feature points, avoid the operation of extracting, matching, and removing the mismatch of each frame of feature points, and improve the speed of the algorithm. Keywords Real-time augmented reality · Moving target · Tracking · Error elimination
1 Introduction The theoretical basis of the augmented reality (AR) system is based on the development of machine vision theory [1–4]. Computer vision mainly includes theoretical content such as computer graphics and image processing [5]. It covers a wide range of areas, including mathematics, physics, and medicine. Signal processing and other scientific fields have many applications and have broad development prospects in industrial manufacturing, industrial testing, aerospace, and other aspects [6]. Later, with the rapid popularization of personal terminals and the high integration of hardware systems, high-precision cameras have become the standard configuration of terminal devices, and the application programs that are born in the face of various application scenarios have greatly promoted. Augmented reality technology is a technology that superimposes virtual objects generated by computer modeling in real scenes, at the same time fuse virtual objects with real scenes, present the merged scenes * Zijian Zhao [email protected] Yingjie Shi [email protected] 1
Department of Physical Education, Henan Institute of Economics and Trade, Zhengzhou 450000, China
School of Physical Education (School Headquarters), Zhengzhou University, Zhengzhou 450001, China
2
to users, and improve the user’s visual experience. The strong reality technology combines target detection, target recognition, virtual modeling, and other technologies, and it is widely used in fields including industry, military, medical, entertainment, etc. [7]. Augmented reality interaction is to use external equipment to obtain information such as images, audio, and sensor data as data, and people respond to the data information to realize the manipulation of virtual objects, to achieve the purpose of human-virtual object interaction and bring to users excellent visual experience [8]. The augmented reality system is a bridge built between people and virtual objects, through which people can interact
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