Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

The scientific literature on automated gait analysis for human recognition has grown
dramatically over the past 15 years. A number of sensing modalities including those based …

This work targets people identification in video based on the way they walk (ie gait). While
classical methods typically derive gait signatures from sequences of binary silhouettes, in …

Human gait or walking manner is a biometric feature that allows identification of a person
when other biometric features such as the face or iris are not visible. In this study, the …

In this work we investigate the problem of people recognition by their gait. For this task, we
implement deep learning approach using the optical flow as the main source of motion …

Recently, gait attracts attention as a practical biometric for devices that naturally possess
walking pattern sensing. In the present study, we explored the feasibility of using a …

All people have a fingerprint that is unique to them and persistent throughout life. Similarly,
we propose that people have a gaitprint, a persistent walking pattern that contains unique …

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 …

The goal of this paper is to evaluate how the fusion of multimodal features (ie, audio, RGB
and depth) can help in the challenging task of people identification based on their gait (ie …