• Title/Summary/Keyword: Markerless Tracking

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Development of Augmented Reality Character System based on Markerless Tracking (마커리스 트래킹 기반 증강현실 캐릭터 시스템 개발)

  • Hyun, Sim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1275-1282
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    • 2022
  • In this study, real-time character navigation using AR lens developed by Nreal is developed. Real-time character navigation is not possible with general marker-based AR because NPC characters must guide while moving in an unspecified space. To replace this, a markerless AR system was developed using Digital Twin technology. Existing markerless AR is operated based on hardware such as GPS, gyroscope, and magnetic sensor, so location accuracy is low and processing time in the system is long, resulting in low reliability in real-time AR environment. In order to solve this problem, using the SLAM technique to construct a space into a 3D object and to construct a markerless AR based on point location, AR can be implemented without any hardware intervention in a real-time AR environment. This real-time AR environment configuration made it possible to implement a navigation system using characters in tourist attractions such as Suncheon Bay Garden and Suncheon Drama Filming Site.

AR-Based Character Tracking Navigation System Development (AR기반 캐릭터 트래킹 네비게이션 시스템 개발)

  • Lee, SeokHwan;Lee, JungKeum;Sim, Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.2
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    • pp.325-332
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    • 2022
  • In this study, real-time character navigation using AR lens developed by Nreal is developed. Real-time character navigation is not possible with general marker-based AR because NPC characters must guide while moving in an unspecified space. To replace this, a markerless AR system was developed using Digital Twin technology. Existing markerless AR is operated based on hardware such as GPS, gyroscope, and magnetic sensor, so location accuracy is low and processing time in the system is long, which results low reliability in real-time AR environment. In order to solve this problem, using the SLAM technique to construct a space into a 3D object and to construct a markerless AR based on point location, AR can be implemented without any hardware intervention in a real-time AR environment. This real-time AR environment configuration made it possible to implement a navigation system using characters in tourist attractions such as Suncheon Bay Garden and Suncheon Drama Filming Site.

Multi-Object Tracking based on Reliability Assessment of Learning in Mobile Environment (모바일 환경 신뢰도 평가 학습에 의한 다중 객체 추적)

  • Han, Woo ri;Kim, Young-Seop;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.3
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    • pp.73-77
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    • 2015
  • This paper proposes an object tracking system according to reliability assessment of learning in mobile environments. The proposed system is based on markerless tracking, and there are four modules which are recognition, tracking, detecting and learning module. Recognition module detects and identifies an object to be matched on current frame correspond to the database using LSH through SURF, and then this module generates a standard object information that has the best reliability of learning. The standard object information is used for evaluating and learning the object that is successful tracking in tracking module. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. The experimental results show that the proposed system is able to recognize and track the reliable objects with reliability assessment of learning for the use of mobile platform.

Multi-Object Tracking Based on Keypoints Using Homography in Mobile Environments (모바일 환경 Homography를 이용한 특징점 기반 다중 객체 추적)

  • Han, Woo ri;Kim, Young-Seop;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.3
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    • pp.67-72
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    • 2015
  • This paper proposes an object tracking system based on keypoints using homography in mobile environments. The proposed system is based on markerless tracking, and there are four modules which are recognition, tracking, detecting and learning module. Recognition module detects and identifies an object to be matched on current frame correspond to the database using LSH through SURF, and then this module generates a standard object information. Tracking module tracks an object using homography information that generate by being matched on the learned object keypoints to the current object keypoints. Then update the window included the object for defining object's pose. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. The experimental results show that the proposed system is able to recognize and track objects with updating object's pose for the use of mobile platform.

Real-Time Camera Tracking for Markerless Augmented Reality (마커 없는 증강현실을 위한 실시간 카메라 추적)

  • Oh, Ju-Hyun;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.614-623
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    • 2011
  • We propose a real-time tracking algorithm for an augmented reality (AR) system for TV broadcasting. The tracking is initialized by detecting the object with the SURF algorithm. A multi-scale approach is used for the stable real-time camera tracking. Normalized cross correlation (NCC) is used to find the patch correspondences, to cope with the unknown and changing lighting condition. Since a zooming camera is used, the focal length should be estimated online. Experimental results show that the focal length of the camera is properly estimated with the proposed online calibration procedure.

A Review of Motion Capture Systems: Focusing on Clinical Applications and Kinematic Variables (모션 캡처 시스템에 대한 고찰: 임상적 활용 및 운동형상학적 변인 측정 중심으로)

  • Lim, Wootaek
    • Physical Therapy Korea
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    • v.29 no.2
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    • pp.87-93
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    • 2022
  • To solve the pathological problems of the musculoskeletal system based on evidence, a sophisticated analysis of human motion is required. Traditional optical motion capture systems with high validity and reliability have been utilized in clinical practice for a long time. However, expensive equipment and professional technicians are required to construct optical motion capture systems, hence they are used at a limited capacity in clinical settings despite their advantages. The development of information technology has overcome the existing limit and paved the way for constructing a motion capture system that can be operated at a low cost. Recently, with the development of computer vision-based technology and optical markerless tracking technology, webcam-based 3D human motion analysis has become possible, in which the intuitive interface increases the user-friendliness to non-specialists. In addition, unlike conventional optical motion capture, with this approach, it is possible to analyze motions of multiple people at simultaneously. In a non-optical motion capture system, an inertial measurement unit is typically used, which is not significantly different from a conventional optical motion capture system in terms of its validity and reliability. With the development of markerless technology and advent of non-optical motion capture systems, it is a great advantage that human motion analysis is no longer limited to laboratories.

Design of Image Tracking System for Marker Diversity in Argumented Reality (증강현실 마커 다양성을 위한 영상 트래킹 시스템 설계)

  • Song, Jae-Gu;Jung, Sung-Mo;Lim, Ji-Hoon;Kim, Seok-Soo
    • Proceedings of the KAIS Fall Conference
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    • 2010.05a
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    • pp.225-227
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    • 2010
  • 최근 증강현실(Augmented Reality, AR) 기술의 중요성이 인식되면서 다양한 분야의 서비스에 기술 도입사례가 등장하고 있다. AR에 있어 마커 검출 기술은 가장 기본이 되는 중요한 기술이다. 하지만 마커 기반의 증강현실 시스템은 그 오차가 매우 크고 이로 인해 센서정보와 같은 다양한 보조적 정보를 요구하게 된다. 따라서 본 연구에서는 마커사용의 한계를 극복하기 위한 마커리스 트래킹(Markerless Tracking Technology)기술을 연구 하여 실시간 영상에서 목표로 하는 사물을 추적하여 증강현실 서비스로 도입하기 위한 시스템은 설계하였다. 본 시스템은 기존에 도입된 명함 분석, 자동차 번호판 인식 등 제한된 서비스의 한계를 극복하고 보다 다양한 연구 분야에 활용될 것이다.

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The Implementation of Fast 3D Object Tracking using GPU (GPU를 이용한 3차원 고속 물체 추적 알고리즘 구현)

  • Kim, Su-Hyun;Jo, Chang-woo;Jeong, Chang-sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.374-376
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    • 2013
  • 증강 현실(Argument Reality)에 대한 관심이 증가함에 따라 빠르고 강건한 물체 추적(Object Tracking)기법의 개발이 큰 이슈가 되고 있다. 특히, 마커를 사용하지 않는 경우에 추적 속도와 정확도의 정보가 이루어지는 강건한 Markerless 3D 추적 기술은 많은 연구가 이루어지고 있다. 본 논문에서는 SIFT(Scale Invariant Feature Transform)를 이용한 특징점 추출 및 매칭 기법을 통하여 높은 정확도의 물체 추적기법을 제안한다. 그리고 실시간으로 적용하기 어려운 SIFT의 느린 특징점 추출과 매칭 단계를 GPU 기반의 병렬화 작업을 통하여 개선시켜 향상된 추적 속도를 보여준다.

Study on the Content Development of Mobile AR_HMD through a Real Time 360 Image Processing. (360° 실시간 영상처리를 통한 모바일 AR_HMD 콘텐츠 개발을 위한 연구)

  • Lee, Changhyun;Kim, Youngseop;Kim, Yeonmin;Park, Inho;Choi, JaeHak;Lee, Yonghwan;Han, Woori
    • Journal of the Semiconductor & Display Technology
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    • v.15 no.2
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    • pp.66-69
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    • 2016
  • Recently, augmented reality and virtual reality in the ICT sector have been highlighted. So also interested in related HMD areas to facilitate contact with the VR content is being attend. This paper proposes a method for implementing to the virtual reality through the mobile HMD device with the real time 360 image. This system is required the real time 360 image streaming server configuration and image processing for augmented reality and virtual reality. The configuration of the streaming server is configured the DB server to store images and the relay server that can relay images to other devices. Augmented image processing module is composed based on markerless tracking, and there are four modules that are recognition, tracking, detecting and learning module. Also, the purpose of this paper is shown the augmented 360 image processing through the Mobile HMD.

Markless System of Using Hand Tracking (핸드 트레킹을 이용한 Markerless 시스템)

  • Ban, Kyeong-Jin;Kim, Jong-Chan;Kim, Kyeong-Og;Kim, Eung-Kon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.683-685
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    • 2010
  • Augmented reality is a technology for showing virtual objects overlapped with the real world as seen from the eyes of users. Studies are being conducted on effective communication methods using hand movements in augmented reality. Hand movements are an important means of human communication along with writing and voice. Space arrangement technology and hand tracking technology using markers to acquire virtual information in augmented reality have many limitations. This paper proposes tracking hand area for augmented object. The augmented objects change viewpoints by hand positions which improves the sense of three dimensions and immersion.

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