Skip to main content

Abstract

Motion capture application continues to grow in many sectors of the industry, including medical science, sports science, animation, robotics, and many more. In order to capture any specific movement to be analyzed, markers are utilized to identify joint movement. Passive reflective markers are usually utilized in motion capture systems equipped with infrared cameras. Active reflective markers are usually utilized in motion capture systems with digital video recorders. These markers usually transmit or diffuse specular light distribution to be captured by the camera system. In this study, the reflection rate index (RRI) of 4 different types of markers was measured (M1, M2, M3, and M4). Based on the RRI value, the type and level of reflection and light distribution from each marker can be identified. Results indicated that M1 and M2 had RRI values above 1, which means that these markers produced diffuse reflection, whereas M3 and M4 had RRI values below 1, which means that these markers produced specular reflection. Based on this study, we can categorize each markers light distribution or reflection rate based on the calculated RRI. This is helpful to researcher for deciding what type of marker that needs to be utilized in each respective research area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sharma, A., Agarwal, M., Sharma, A., Dhuria, P. (2013). Motion capture process, techniques and applications. International Journal on Recent and Innovation Trends in Computing and Communication, 1(4), 251–257.

    Google Scholar 

  2. Richards, J. G. (1999). The measurement of human motion: A comparison of commercially available system. Human Movement Science, 18, 589–602.

    Article  Google Scholar 

  3. Kumar, N., Kunju, N., Kumar, A., & Sohi, B. S. (2010). Active marker based kinematic and spatio-temporal gait measurement system using LabView Vision. Journal of Scientific and Industrial Research, 69, 600–605.

    Google Scholar 

  4. Gall, J., Stoll, C., De Aguiar, E., Theobalt, C., Rosenhahn, B., Seidel, H. P. (2009). Motion capture using joint skeleton tracking and surface estimation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR ’09) (pp. 1746–1753).

    Google Scholar 

  5. Zhang, D., Miao, Z., Chen, S. (2013). Human model adaptation for multiview markerless motion capture. Mathematical Problems in Engineering, Vol. 2013, Article ID 5642147 pages. doi:10.1155/2013/564214.

  6. Miranda-Medina, M. L., Somkuti, P., & Steiger, B. (2013). Detection and classification of orange peel on polished steel surfaces by interferometric microscopy. Journal of Physics: Conference Series, 450, 1–6. doi:10.1088/1742-6596/450/1/012009.

    Google Scholar 

  7. Kigle-Boeckler, G. (1996). Measuring gloss and reflection properties of surfaces. Tappi Journal, pp. 194–198.

    Google Scholar 

Download references

Acknowledgments

Thanks are due to the Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Malaysia, for the financial support of this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shariman Ismadi Ismail .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Singapore

About this paper

Cite this paper

Ismail, S.I., Adnan, R., Sulaiman, N. (2014). Reflection Rate Index of Markers for Motion Capture Application. In: Adnan, R., Ismail, S., Sulaiman, N. (eds) Proceedings of the International Colloquium on Sports Science, Exercise, Engineering and Technology 2014 (ICoSSEET 2014). Springer, Singapore. https://doi.org/10.1007/978-981-287-107-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-287-107-7_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-106-0

  • Online ISBN: 978-981-287-107-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics