MIMIC: Real-time marker-free motion capture system to create an agent in the virtual space

被引:0
|
作者
Kim, SE [1 ]
Lee, RH [1 ]
Park, CJ [1 ]
Lee, IH [1 ]
机构
[1] ETRI, VR Ctr, Mot Inform Res Team, Yuseong Gu, Taejon 305350, South Korea
关键词
marker-free motion capture; feature extraction; motion tracking; inverse kinematics;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We described a real-time 3D computer vision system called MIMIC(Motion Interface & Motion Information Capture system) that can capture and save motion of an actor. This system analyzes input images from vision sensors and searches feature information like a head, hands, and feet. Moreover, this estimates intermediated joints as an elbow and knee using feature information and makes 3D human model having 20 joints. This virtual human model mimics the motion of an actor in real-time. Therefore this system can realize the movement of an actor unaffectedly because of making intermediated joint for complete human body contrary to other marker-free motion capture system.
引用
收藏
页码:48 / 49
页数:2
相关论文
共 50 条
  • [41] Towards Scalable and Real-time Markerless Motion Capture
    Albanis, Georgios
    Chatzitofis, Anargyros
    Thermos, Spyridon
    Zioulis, Nikolaos
    Kolomvatsos, Kostas
    2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022), 2022, : 715 - 716
  • [42] Motion levels of detail for real-time virtual worlds
    Multon, F
    Valton, B
    Jouin, B
    Cozot, R
    PROCEEDINGS OF THE INDUSTRIAL & BUSINESS SIMULATION SYMPOSIUM, 1999, : 130 - 135
  • [43] Virtual Human Motion Real-time Rendering Technology
    Xu, Ren-jie
    Zhao, Luo-hua
    2ND INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, ELECTRONICS AND MECHATRONICS ENGINEERING (AMEME), 2017, : 347 - 351
  • [44] Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
    Oh, Hyeongseok
    Cha, Geonho
    Oh, Songhwai
    SENSORS, 2014, 14 (03): : 5516 - 5535
  • [45] Vision-based real-time motion capture system using multiple cameras
    Yoshimoto, H
    Date, N
    Arita, D
    Taniguchi, R
    Yonemoto, S
    PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS, 2003, : 247 - 251
  • [46] Development of a real-time IMU-based motion capture system for gait rehabilitation
    Kong, W.
    Sessa, S.
    Cosentino, S.
    Zecca, M.
    Saito, K.
    Wang, C.
    Imtiaz, U.
    Lin, Z.
    Bartolomeo, L.
    Ishii, H.
    Ikai, T.
    Takanishi, A.
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 2100 - 2105
  • [47] A simple-structured real-time motion capture system employing silhouette images
    Uchinoumi, M
    Tan, JK
    Ishikawa, S
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3094 - 3098
  • [48] Real-time video based motion capture system based on color and edge distributions
    Akazawa, Y
    Okada, Y
    Niijima, K
    IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I AND II, PROCEEDINGS, 2002, : A333 - A336
  • [49] Establishing a novel real-time portable motion capture system to characterize tremor profiles
    Chen, Kai-Hsiang
    Lin, Po-Chieh
    Chen, Yu-Rong
    Yang, Bing-Shiang
    Lin, Chin-Hsien
    MOVEMENT DISORDERS, 2014, 29 : S101 - S101
  • [50] A real-time visual feedback system of strength self-training with motion capture
    Kaneko, Hikaru
    Makino, Mitsunori
    2019 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2019, : 228 - 231