We propose a novel gait recognition method that combines convolutional features with
features of human pose key points obtained by a point cloud analysis model. Currently, most …

Gait recognition, which can realize long-distance and contactless identification, is an
important biometric technology. Recent gait recognition methods focus on learning the …

In this paper, we propose a novel network structure GaitNet, which treats gait as a set of
disordered sequences, compares different sequences to extract features, and introduces …

Gait Recognition aims to identify individuals by their walking patterns. Abundant spatial and
temporal characteristics are contained in human walking for indicating unique personal …

CNN is a major model used for image-based recognition tasks, including gait recognition,
and many CNN-based network structures and/or learning frameworks have been proposed …

Through the in‐depth study of biological characteristics, the gait information of each person
is found to be unique. Therefore, gait characteristics can be used to identify a person's …

基于轮廓的步态识别方法容易受行人的携带物, 衣物等遮挡因素的影响. 针对这一问题提出了
动态步态图. 动态步态图将步态轮廓图划分为动态部分和静态部分, 更有利于提取受遮挡影响较 …

This article proposes a new method for human gaits classification. Deep neural networks
were used to classify gait features. The public database CASIA Gait Dataset B were used for …

The population of people with severe mental disorders in global is soaring year by year,
violence or crimes imposed by them always shock the public and lead to terrible …

Gait recognition aims to recognize one subject by the way she/he walks without alerting the
subject, which has drawn increasing attention. Recently, gait recognition can be represented …