Share Email Print

Proceedings Paper

Approach to analyze a deformable moving target by using the shape deformation model and morphological operators
Author(s): Weiguo Wu; Take Asai; Takao Akatsuka
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The measurement of the characteristic parameters for a moving object with deformation is often an important problem. Here, an approach to analyze the shape change of a ball, when it is kicked in soccer, is proposed by using a simple shape deformation model to evaluate the shape change from the image sequence. Moreover, to determine the parameters of the model which apply to actual ball deformation, the detection of ball is necessary, and the pattern spectrum based on morphological operators is considered. Here, we assume that the deformation surface of the ball is a circular arc, when it is kicked by foot, and the arc is always convex when it is observed from the kicking side. To obtain the parameters of the arc, the preprocessing of the ball image such as local binarization, the region filling and noisy smoothing with morphological operators, is performed from actual image sequence. In order to detect the ball, the pattern spectrum with morphological operators is measured, and then circumscribed circle of the ball is extracted. So, the center and radius of the ball from circumscribed circle and the arc of the deformation surface of the model are obtained. Finally, the characteristic parameters of a moving ball such as the deformation are measured by using the shape deformation model. To demonstrate the effect of this method, we show an application to extract the deformation of the ball in football for the actual sports skill training.

Paper Details

Date Published: 3 October 1995
PDF: 10 pages
Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); doi: 10.1117/12.222681
Show Author Affiliations
Weiguo Wu, Yamagata Univ. (Japan)
Take Asai, Yamagata Univ. (Japan)
Takao Akatsuka, Yamagata Univ. (Japan)

Published in SPIE Proceedings Vol. 2588:
Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?