Motion recognition of lower limb without marks

Yi Sun; Yangdong Wu; JianHua Li

doi:10.1117/12.411578

28 December 2000 Motion recognition of lower limb without marks

Yi Sun, Yangdong Wu, JianHua Li

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411578
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Tracing motion of lower limb is the basis of analyzing motion of whole body. In this paper, the image sequences are transformed to distance images in which each pixel represent its distance to the background. The process is as follows: we first get the binary image sequences from the original image sequences by threshold selection, and we extract interesting region that is the part of the leg. Pixel value within lower limb is represent as '1' and pixel within background as '0'. Then scanning each binary image from top to bottom. As we are scanning one binary image, we compare every pixel value within the object with its neighbors to get new value. If the binary image is denoted by f(i,j) where (i,j) is coordinate of the pixel and f(i,j) is the pixel value, we scan the image forward, and the pixel's new value denoted by g(i,j) is as follows: g(i,j) equals 0, if f(i,j) equals 0 g(i,j) equals min [g(i-1,j)+1, g(i,j-1)+1], if f(i,j) equals 1 Then we scan the g (i,j) from bottom to top. As we are scanning, we compare every pixel value within the object with its neighbors to get new value denoted by h(i,j): h(i,j) equals min [g(i,j), h(i-1,j)+1, h(i,j-1)+1]. We denote h (i,j) as the distance image of the original image f (i,j). h (i,j) is pixel' minimum distance to the background. The distance image sequences can reflect geometric characters of images very well. The paper proposes a correlation matching method on distance images, and give matching result of four joints on the leg. The result shows that this is an effective method.

Citation Download Citation

Yi Sun, Yangdong Wu, and JianHua Li "Motion recognition of lower limb without marks", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411578

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Binary data

Image processing

Motion analysis

Analytical research

Motion models

Cameras

Model-based design

Show All Keywords

Keywords/Phrases

Search In:

Publication Years