Automated human recognition by gait using neural network


Nixon, M.S. (2008) Automated human recognition by gait using neural network. 2008 First Workshops on Image Processing Theory, Tools and Applications (IPTA), 6 pp.-.

Download

[img] PDF
Download (780Kb)

Description/Abstract

We describe a new method for recognizing humans by their gait using back-propagation neural network. Here, the gait motion is described as rhythmic and periodic motion, and a 2D stick figure is extracted from gait silhouette by motion information with topological analysis guided by anatomical knowledge. A sequential set of 2D stick figures is used to represent the gait signature that is primitive data for the feature extraction based on motion parameters. Then, a back-propagation neural network algorithm is used to recognize humans by their gait patterns. In experiments, higher gait recognition performances have been achieved.

Item Type: Article
Additional Information: Imported from ISI Web of Science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 269791
Date Deposited: 21 Apr 2010 07:46
Last Modified: 27 Mar 2014 20:15
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/269791

Actions (login required)

View Item View Item