Abstract
A markerless motion capture technique is described for reconstructing three-dimensional biological motion. In the first stage of the process, an action is recorded with 2 CCD webcams. Then, the video is divided in frames. For each frame, the 2D coordinates of key locations (body joints) are extracted by the combination of manual identification (mouse pointing) and image processing (blobs matching). Finally, an algorithm computes the X-Y coordinates from each camera view to generate a file containing the 3D coordinates of every visible point in the display. This technique has many advantages over other methods. It does not require too specialized equipment. The computer programming uses open source software. The technology is based on an inexpensive portable device. Moreover, it can be used for different environments (indoor/outdoor) and living beings (human/animal). This system has already been tested in a wide range of applications, such as avatars modeling and psychophysical studies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Heloir, A., Neff, M.: Exploiting Motion Capture for Virtual Human Animation: Data Collection and Annotation Visualization. In: Workshop on Multimodal Corpora - Advances in Capturing, Coding and Analyzing Multimodality. Valletta, Malta (2010)
Gameiro, J., Cardoso, T., Rybarczyk Y.: Kinect-Sign: Teaching Sign Language to Listeners through a Game. In: Rybarczyk, Y., Cardoso, T., Rosas, J., Camarinha-Matos, L. (eds.) Innovative and Creative Developments in Multimodal Interaction Systems, pp. 141–159. Springer, Heidelberg (2014)
Rybarczyk, Y., Santos, J.: Motion Integration in Direction Perception of Biological Motion. In: Fourth Asian Conference on Vision. Matsue, Japan (2006)
Dekeyser, M., Verfaillie, K., Vanrie, J.: Creating Stimuli for the Study of Biological Motion Perception. Behavior Research Methods, Instruments, & Computers 34(3), pp. 375–382 (2002)
Windows Dev Center, https://dev.windows.com/en-us/kinect
Vicon Motion Systems, http://www.vicon.com/
Shipley, T., Brumberg, J.: Markerless Motion Capture for Point-Light Displays. Technical report, available at http://astro.temple.edu/~tshipley/mocap.html
Zhang, Z., Troje, N. F.: 3D Periodic Human Motion Reconstruction from 2D Motion Sequences. Neural Computation 19, pp. 1400–1421 (2007)
Harmazi, M., Bensrhair, A., Bennouna, M., Miché, P., Mousset, S.: Implementation of a Real-Time 3D Vision Sensor for a Vehicle Driving Aid. In: TILT Conference. Lille, France (2003)
Shiffman, D.: Learning Processing: A Beginner’s Guide to Programming Images, Animation and Interaction. Morgan Kaufmann, San Francisco (2008).
Caillette, F., Aphrodite G., Toby H.: Real-Time 3-D Human Body Tracking Using Learnt Models of Behaviour. Computer Vision and Image Understanding 109(2), pp. 112–125 (2008)
Canton-Ferrer, C., Casas, J.R., Pardàs, M.: Human Motion Capture Using Scalable Body Models. Computer Vision and Image Understanding 115(10), pp. 1363–1374 (2011)
Dutta, T.: Evaluation of the Kinect Sensor for 3-D Kinematic Measurement in the Workplace. Applied Ergonomics 43, pp. 645–649 (2012)
Chen, L., Wei, H., Ferryman, J.: A Survey of Human Motion Analysis Using Depth Imagery. Pattern Recognition Letters 34, pp. 1995–2006 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Rybarczyk, Y. (2016). 3D Markerless Motion Capture: A Low Cost Approach. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-31232-3_68
Download citation
DOI: https://doi.org/10.1007/978-3-319-31232-3_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31231-6
Online ISBN: 978-3-319-31232-3
eBook Packages: EngineeringEngineering (R0)