The Effect of Using Projective Cameras on View- Independent Gait Recognition Performance
Iraqi Journal for Electrical And Electronic Engineering,
Volume 14, Issue 1, Pages 22-29
AbstractGait as a biometric can be used to identify subjects at a distance and thus it receives great attention from the
research community for security and surveillance applications. One of the challenges that affects gait recognition
performance is view variation. Much work has been done to tackle this challenge. However, the majority of the work
assumes that gait silhouettes are captured by affine cameras where only the height of silhouettes changes and the
difference in viewing angle of silhouettes in one gait cycle is relatively small. In this paper, we analyze the variation
in gait recognition performance when using silhouettes from projective cameras and from affine cameras with
different distance from the center of a walking path. This is done by using 3D models of walking people in the gallery
set and 2D gait silhouettes from independent (single) cameras in the probe set. Different factors that affect matching
3D human models with 2D gait silhouettes from single cameras for view-independent gait recognition are analyzed.
In all experiments, we use 258 multi-view sequences belong to 46 subjects from Multi-View Soton gait dataset.
We evaluate the matching performance for 12 different views using Gait Energy Image (GEI) as gait features.
Then, we analyze the effect of using different camera configurations for 3D model reconstruction, the GEI from
cameras with different settings, the upper and lower body parts for recognition and different GEI resolutions. The
results illustrate that low recognition performance is achieved when using gait silhouettes from affine cameras while
lower recognition performance is obtained when using gait silhouettes from projective cameras.
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