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Multi-view gait recognition on curved
(2017-12-11)
Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on ...
Pyramidal Fisher Motion for Multiview Gait Recognition
(2017-01-17)
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on ...
Entropy Volumes for Viewpoint Independent Gait Recognition
(2017-02-17)
Gait as biometrics has been widely used for
human identi cation. However, direction changes cause
di culties for most of the gait recognition systems, due
to appearance changes. This study presents an e cient
multi-view ...
The AVA Multi-View Dataset for Gait Recognition
(2018)
In this paper, we introduce a new multi-view dataset for
gait recognition. The dataset was recorded in an indoor scenario, using
six convergent cameras setup to produce multi-view videos, where each
video depicts a ...
A new approach for multi-view gait recognition on unconstrained paths
(2017)
Direction changes cause di culties for most of the gait recognition systems, due to appearance
changes. We propose a new approach for multi-view gait recognition, which
focuses on recognizing people walking on unconstrained ...
Fisher Motion Descriptor for Multiview Gait Recognition
(2017)
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes
as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based
on ...
Automatic learning of gait signatures for people identification
(2017-12-05)
This work targets people identification in video based
on the way they walk (i.e. gait). While classical methods
typically derive gait signatures from sequences of binary
silhouettes, in this work we explore the use of ...