Model-driven statistical analysis of human gait motion
Yoo, Jang H, Nixon, Mark S and Harris, Chris J (2002) Model-driven statistical analysis of human gait motion. At ICIP 2002 International Conference on Image Processing, Rochester, NY, USA, 22 - 25 Sep 2002. , 285-288.
Download
![[img]](http://eprints.soton.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
Download (187Kb) |
Description/Abstract
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by trigonometric-polynomial interpolant functions. The gait description is derived by topological analysis guided by medical studies that selects areas from which joint angles are derived by regression analysis. Then, the interpolant functions are fitted to the gait data and whilst showing fidelity to earlier medical studies, also show recognition capability. As such, a new combination of medical knowledge, image processing and regression analysis can be used to label human motion in image sequences.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: 22-25 Sept. 2002 |
| Keywords: | computer-vision; feature-extraction; gait-analysis; image-motion-analysis; image-sequences; interpolation-; polynomial-approximation; statistical-analysis |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 257894 |
| Date Deposited: | 20 Nov 2003 |
| Last Modified: | 16 Aug 2012 03:33 |
| Contributors: | Yoo, Jang H (Author) Nixon, Mark S (Author) Harris, Chris J (Author) |
| Date: | 2002 |
| Additional Information: | Event Dates: 22-25 Sept. 2002 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 2 |
| URI: | http://eprints.soton.ac.uk/id/eprint/257894 |
Actions (login required)
 |
View Item |
