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Proceedings Paper

3D kinematic measurement of human movement using low cost fish-eye cameras
Author(s): Atiqul Islam; Md. Asikuzzaman; Matthew A. Garratt; Mark R. Pickering
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Paper Abstract

3D motion capture is difficult when the capturing is performed in an outdoor environment without controlled surroundings. In this paper, we propose a new approach of using two ordinary cameras arranged in a special stereoscopic configuration and passive markers on a subject’s body to reconstruct the motion of the subject. Firstly for each frame of the video, an adaptive thresholding algorithm is applied for extracting the markers on the subject’s body. Once the markers are extracted, an algorithm for matching corresponding markers in each frame is applied. Zhang’s planar calibration method is used to calibrate the two cameras. As the cameras use the fisheye lens, they cannot be well estimated using a pinhole camera model which makes it difficult to estimate the depth information. In this work, to restore the 3D coordinates we use a unique calibration method for fisheye lenses. The accuracy of the 3D coordinate reconstruction is evaluated by comparing with results from a commercially available Vicon motion capture system.

Paper Details

Date Published: 8 February 2017
PDF: 8 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102252G (8 February 2017); doi: 10.1117/12.2266486
Show Author Affiliations
Atiqul Islam, The Univ. of New South Wales (Australia)
Md. Asikuzzaman, The Univ. of New South Wales (Australia)
Matthew A. Garratt, The Univ. of New South Wales (Australia)
Mark R. Pickering, The Univ. of New South Wales (Australia)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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