While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

This paper describes the world's largest gait database with wide view variation, the “OU-ISIR
gait database, multi-view large population dataset (OU-MVLP)”, and its application to a …

This paper proposes a method of gait recognition using a convolutional neural network
(CNN). Inspired by the great successes of CNNs in image recognition tasks, we feed in the …

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 paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large
Population Dataset”-and its application to a statistically reliable performance evaluation of …

In this paper, we introduce a new type of sensing modality, the Dynamic Vision Sensors
(Event Cameras), for the task of gait recognition. Compared with the traditional RGB …

In this paper, we discuss input/output architectures for convolutional neural network (CNN)-
based cross-view gait recognition. For this purpose, we consider two aspects: verification …

The traditional image representations are not suited to conventional classification methods,
such as the linear discriminant analysis (LDA), because of the under sample problem (USP) …

Gait recognition is a biometric technique used in determining the identity of humans based
on the style and the manner of their walk. Its performance is often degraded by covariate …