Updated on 6/17/2007 3:48 PM
The data was collected over four days,
2 different shoe types (A, and B),
2 different carrying conditions (with or without
a briefcase),
on 2 different surface types (grass and
concrete),
from 2 different viewpoints (Left or Right) and
some at 2 different time instants
Thus, there are 32 possible conditions under which persons gait could have been imaged. However, not all subjects were imaged in all conditions. The full data set can be partitioned as depicted in the following grid.

We refer to the cells with blue background as
the May-2001-No-Briefcase data (used in
our ICPR-02 and FGR-02 papers).
We distribute only the full version of the
dataset which consists of 1870 sequences
from 122 subjects. The total size of
the data is around 1.2 Tera bytes, uncompressed, and is distributed in
compressed form using: one external 750GB (or more) drive. Please make sure
your computer system can handle this large amount of data.
You will need to have linux to uncompress the
data.
To the following address send the first four listed items. Also send an email, with tracking
numbers, to (sarkar AT cseeDOTusfDOTedu) to look out for the disks.
Sudeep Sarkar
Computer Science and Engineering
4202 E Fowler Ave., ENB 118
Note 1: Please make sure your
computer setup can handle terabytes of data and you have access to the linux
machine to uncompress the data.
Note 2: Do not expect immediate
service. It will take us couple of months to respond to each request.
We make available the silhouettes that were computed by the baseline algorithm on the complete dataset, so that one can experiment with similarity computation methods. The complete set of silhouettes is available as a tar file from the “Source Code” page. The silhouettes, which as you will notice, are noisy, but do support the recognition rates reported by the simple correlation based similarity computing baseline strategy.