.: Click here to download :.
Gait recognition is the process of identifying an individual by the
manor in which they walk.
This is a marker less unobtrusive biometric, which offers the
possibility to identify people at a
distance, without any interaction or co-operation from the subject,
this is the property which
makes it so attractive as a method of identification.
The interest in gait as a biometric is strongly motivated
by the need for an automated recognition system
for visual surveillance and monitoring applications.
Recently, the use of gait for people identification in
surveillance applications has attracted researchers from
computer vision. The suitability of gait recognition for
surveillance systems emerges from the fact that gait can
be perceived from a distance as well as its non-invasive
nature. Although gait recognition is still a new biometric, it overcomes
most of the limitations that other biometrics suffer
from such as face, fingerprints and iris recognition
which can be obscured in most situations where serious
crimes are involved.
We have developed a fast and accurate algorithm for gait recognition
based on spatio-temporal statistical distribution of pixels present in
silhouettes images. Code has been tested on CASIA Gait Database. Input frames are
processed and extracted feature vectors are used to train a neural
network.
Index Terms: Matlab, source, code, gait, recognition, identification, matching, silhouettes, neural, networks.
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Figure 1. Gait analysis |
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A simple and effective source code for Gait Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox and Matlab Neural Network Toolbox are required.
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Release |
Date |
Major features |
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1.0 |
2009.07.22 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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Gait Recognition System. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 26 EUROS (less
than 36 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of Gait Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 2006a. Matlab Image Processing Toolbox and Matlab Neural Network Toolbox are required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
