Context-sensitive temporal feature learning for gait recognition

X Huang, D Zhu, H Wang, X Wang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …

Gait analysis advancements: rehabilitation value and new perspectives from forensic application

M Mangone, E Marinelli, G Santilli… - European Review for …, 2023 - iris.uniroma1.it
The clinical and rehabilitation value of gait analysis is remarkable and indisputable and
poised to grow as technological advancements unfold. This article aims to shed light on the …

Metagait: Learning to learn an omni sample adaptive representation for gait recognition

H Dou, P Zhang, W Su, Y Yu, X Li - European Conference on Computer …, 2022 - Springer
Gait recognition, which aims at identifying individuals by their walking patterns, has recently
drawn increasing research attention. However, gait recognition still suffers from the conflicts …

[HTML][HTML] Interpol review of forensic video analysis, 2019–2022

Z Geradts, Q Riphagen - Forensic Science International: Synergy, 2023 - Elsevier
The review focuses mostly on English literature, and which was available from public data
sources from 2018 to 2022. Also we had to make a selection, since searches on video …

CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition

H Dou, P Zhang, Y Zhao, L Jin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Gait recognition, which aims at identifying individuals by their walking patterns, has
achieved great success based on silhouette. The binary silhouette sequence encodes the …

Star: Spatio-temporal augmented relation network for gait recognition

X Huang, X Wang, B He, S He, W Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Gait recognition is a promising long-distance biological recognition technology that is widely
used in public security and video surveillance. In the most recent literature, researchers use …

Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation

G Habib, N Barzilay, O Shimshi… - Proceedings of the …, 2024 - openaccess.thecvf.com
Gait Recognition is a computer vision task aiming to identify people by their walking
patterns. Although existing methods often show high performance on specific datasets, they …

[HTML][HTML] Forensic gait analysis

A Badiye, P Kathane, K Krishan - 2020 - europepmc.org
Gait analysis is known as' the systematic study of human locomotion.'Forensic gait analysis
or forensic gait comparison is defined as' the assessment and evaluation of the gait patterns …

Gait energy image-based human attribute recognition using two-branch deep convolutional neural network

S Zhang, Y Wang, A Li - IEEE Transactions on Biometrics …, 2022 - ieeexplore.ieee.org
Gait is an attractive biometric identifier, playing an essential role in addressing the issue of
identity and attribute recognition in surveillance for its non-invasive and non-cooperative …

Human identification: a review of methods employed within an Australian coronial death investigation system

S Blau, J Graham, L Smythe, S Rowbotham - International Journal of Legal …, 2021 - Springer
Whilst many identification methods have been widely described and discussed in the
literature, and considered in disaster and humanitarian contexts, there has been limited …