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Video-Based Motion Capture for Measuring Human Movement

Video-Based Motion Capture for Measuring Human Movement

Chee Kwang Quah, Michael Koh, Alex Ong, Hock Soon Seah, Andre Gagalowicz
Copyright: © 2009 |Pages: 20
ISBN13: 9781605664064|ISBN10: 1605664065|EISBN13: 9781605664071
DOI: 10.4018/978-1-60566-406-4.ch005
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MLA

Quah, Chee Kwang, et al. "Video-Based Motion Capture for Measuring Human Movement." Digital Sport for Performance Enhancement and Competitive Evolution: Intelligent Gaming Technologies, edited by Nigel Pope, et al., IGI Global, 2009, pp. 81-100. https://doi.org/10.4018/978-1-60566-406-4.ch005

APA

Quah, C. K., Koh, M., Ong, A., Seah, H. S., & Gagalowicz, A. (2009). Video-Based Motion Capture for Measuring Human Movement. In N. Pope, K. Kuhn, & J. Forster (Eds.), Digital Sport for Performance Enhancement and Competitive Evolution: Intelligent Gaming Technologies (pp. 81-100). IGI Global. https://doi.org/10.4018/978-1-60566-406-4.ch005

Chicago

Quah, Chee Kwang, et al. "Video-Based Motion Capture for Measuring Human Movement." In Digital Sport for Performance Enhancement and Competitive Evolution: Intelligent Gaming Technologies, edited by Nigel Pope, Kerri-Ann L. Kuhn, and John J.H. Forster, 81-100. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-406-4.ch005

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Abstract

Through the advancement of electronics technologies, human motion analysis applications span many domains. Existing commercially available magnetic, mechanical and optical systems for motion capture and analyses are far from being able to operate in natural scenarios and environments. The current shortcoming of requiring the subject to wear sensors and markers on the body has prompted development directed towards a marker-less setup using computer vision approaches. However, there are still many challenges and problems in computer vision methods such as inconsistency of illumination, occlusion and lack of understanding and representation of its operating scenario. The authors present a videobased marker-less motion capture method that has the potential to operate in natural scenarios such as occlusive and cluttered scenes. In specific applications in sports biomechanics and education, which are stimulated by the usage of interactive digital media and augmented reality, accurate and reliable capture of human motion are essential.

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