A NOVEL APPROACH IN LOW-COST MOTION CAPTURE SYSTEM USING COLOR DESCRIPTOR AND STEREO WEBCAM

被引:3
|
作者
Imanullah, Muhammad [1 ]
Yuniarno, Eko Mulyanto [2 ]
Sooai, Adri Gabriel [1 ,3 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Elect Engn, Surabaya 60111, Indonesia
[2] Inst Teknol Sepuluh Nopember, Dept Comp Engn, Surabaya 60111, Indonesia
[3] Univ Katolik Widya Mandira, Dept Comp Sci, Kupang City 85225, Indonesia
关键词
Feature matching; Marker; Motion capture; Stereo camera;
D O I
10.14716/ijtech.v10i5.2789
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Animated motion has become crucial in some electronic entertainment business products, such as games, animated movies, and simulations. Making such animated motion is associated with high cost and hard setup requirements. This research proposes a low-cost system for capturing motion using stereo webcam (two webcams placed side by side) and some daily house-grade tools. The system test has been specifically designed for shadow puppet theaters. The setup consists of two identical webcams placed side by side to acquire the depth of a marker by stereo camera triangulation. Image processing is needed to improve object detection and feature matching. Once images are captured from two webcams, they will be inverted and color-filtered to detect the markers and set those markers as features to be matched. Each feature is packed with a unique descriptor based on its color composition. Features in both images are then compared to get their related matches. When matched, their depth and position can be calculated and recorded as a 3D representation that is ready to be processed as motion data. The proposed system is reasonably efficient since we can get an average accuracy of 83.5% using webcams that cost around $7.69.
引用
收藏
页码:942 / 952
页数:11
相关论文
共 50 条
  • [41] A novel and low-cost instrument for color identification of natural fibres
    Roy, Gautam
    Saha, S. C.
    INDIAN JOURNAL OF FIBRE & TEXTILE RESEARCH, 2016, 41 (03) : 344 - 345
  • [42] Feasibility of Using Low-Cost Motion Capture for Automated Screening of Shoulder Motion Limitation after Breast Cancer Surgery
    Gritsenko, Valeriya
    Dailey, Eric
    Kyle, Nicholas
    Taylor, Matt
    Whittacre, Sean
    Swisher, Anne K.
    PLOS ONE, 2015, 10 (06):
  • [43] A novel and low-cost instrument for color identification of natural fibres
    Roy, Gautam (gautamroy1234@yahoo.com), 1600, National Institute of Science Communication and Information Resources (41):
  • [44] Fast Visual Odometry for a Low-Cost Underwater Embedded Stereo System
    Nawaf, Mohamad Motasem
    Merad, Djamal
    Royer, Jean-Philip
    Boi, Jean-Marc
    Saccone, Mauro
    Ben Ellefi, Mohamed
    Drap, Pierre
    SENSORS, 2018, 18 (07)
  • [45] A novel, low-cost pneumatic positioning system
    Thomas, M. Brian
    Maul, Gary P.
    Jayawiyanto, Enrico
    JOURNAL OF MANUFACTURING SYSTEMS, 2005, 24 (04) : 377 - 387
  • [46] A Very Low-Cost System for Capturing 3D Motion Scans with Color and Texture Data
    Straub, Jeremy
    MOTION IMAGERY: STANDARDS, QUALITY, AND INTEROPERABILITY, 2015, 9463
  • [47] Wii remote–based low-cost motion capture for automated assembly simulation
    Wenjuan Zhu
    Anup M. Vader
    Abhinav Chadda
    Ming C. Leu
    Xiaoqing F. Liu
    Jonathan B. Vance
    Virtual Reality, 2013, 17 : 125 - 136
  • [48] Low-Cost Webcam Camera and GNSS Integration for Updating Home Data Using AI Principles
    Handayani, Hepi Hapsari
    Cahyadi, Mokhamad Nur
    Raharjo, Agus Budi
    Haq, Failaqul
    ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL, 2023, 8 : 271 - 277
  • [49] Suitability of a low cost system for quantitative motion capture applications
    Fratini, Antonio
    Gargiulo, Francesco
    Lampognana, Francesca
    Moscato, Vincenzo
    Sansone, Carlo
    Sansone, Mario
    2015 11TH IEEE INTERNATIONAL CONFERENCE AND WORKSHOPS ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG), VOL. 7, 2015,
  • [50] Volumetric Video Capture using Unsynchronized, Low-cost Cameras
    Boensch, Andrea
    Feng, Andrew
    Patel, Parth
    Shapiro, Ari
    PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (GRAPP), VOL 1, 2019, : 255 - 261