Abstract
This paper presents a method for motion recovery from monocular images containing human motions. Image processing techniques, such as spatial filter, linear prediction, cross correlation, least square matching etc, are applied to extract feature points from 2D human figures with or without markers. A 3D skeleton human model is adopted with encoded angular constraints. Energy Function is defined to represent the residuals between extracted feature points and the corresponding points resulted from projecting the human model to the projection plane. Then a procedure for motion recovery is developed, which makes it feasible to generate realistic human animations
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
Yahya Aydin, Masayuki Nakajima, Database Guided Computer Animation of Human Grasping using Forward and Inverse Kinematics, Computers & Graphics, 23 (1999), Page(s): 145–154.
D. M. Gavrila, The Visual Analysis of Human Movement: A Survey, Computer Vision and Image Understanding, Vol. 73, No. 1, January 1999, Page(s): 82–98.
Thomas B. Moeslund and Erik Granum, A Survey of Computer Vision-Based Human Motion Capture, Computer Vision and Image Understanding 81, 2001, Page(s): 231–268.
Zen Chen and His-Jian Lee, Knowledge_Guided Visual Perception of 3-D Human Gait from a Single Image Sequence, Systems, Man, and Cybernetics, IEEE Transactions, Vol. 22, No. 2, March/April 1992, 336–342.
Robert J. Holt, Arun N. Netravali, Thomas S. Huang, Richard J. Qian, Determining Articulated Motion from Perspective Views: A Decomposition Approach, IEEE Workshop on Motion of Non-Rigid and Articulated Objects, 1994, 126–137.
Camillo J. Taylor, Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image, Computer Vision and Image Understanding 80, 2000, 349–363.
Carlos Barron and Ioannis A. Kakadiaris, On the Improvement of Anthropometry and Pose Estimation from a Single Uncalibrated Image, IEEE Workshop on Human Motion, 2000, 53–60.
Jianhui Zhao and Ling Li, Human Motion Reconstruction from Monocular Images Using Genetic Algorithms, Journal of Computer Animation and Virtual Worlds, 2004 (15), Page(s): 407–414.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Zhao, J., Li, L., Chee Keong, K. (2006). MOTION RECOVERY BASED ON FEATURE EXTRACTION FROM 2D IMAGES. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_157
Download citation
DOI: https://doi.org/10.1007/1-4020-4179-9_157
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
Online ISBN: 978-1-4020-4179-2
eBook Packages: Computer ScienceComputer Science (R0)