Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …
on the way they walk. Deep learning has reshaped the research landscape in this area …
A review of video surveillance systems
Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …
Gait recognition in the wild: A benchmark
Gait benchmarks empower the research community to train and evaluate high-performance
gait recognition systems. Even though growing efforts have been devoted to cross-view …
gait recognition systems. Even though growing efforts have been devoted to cross-view …
A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Transg: transformer-based skeleton graph prototype contrastive learning with structure-trajectory prompted reconstruction for person re-identification
Person re-identification (re-ID) via 3D skeleton data is an emerging topic with prominent
advantages. Existing methods usually design skeleton descriptors with raw body joints or …
advantages. Existing methods usually design skeleton descriptors with raw body joints or …
Learning longterm representations for person re-identification using radio signals
Abstract Person Re-Identification (ReID) aims to recognize a person-of-interest across
different places and times. Existing ReID methods rely on images or videos collected using …
different places and times. Existing ReID methods rely on images or videos collected using …
Real-time people tracking and identification from sparse mm-wave radar point-clouds
J Pegoraro, M Rossi - IEEE Access, 2021 - ieeexplore.ieee.org
Mm-wave radars have recently gathered significant attention as a means to track human
movement and identify subjects from their gait characteristics. A widely adopted method to …
movement and identify subjects from their gait characteristics. A widely adopted method to …
Gait recognition for person re-identification
Person re-identification across multiple cameras is an essential task in computer vision
applications, particularly tracking the same person in different scenes. Gait recognition …
applications, particularly tracking the same person in different scenes. Gait recognition …
A self-supervised gait encoding approach with locality-awareness for 3D skeleton based person re-identification
Person re-identification (Re-ID) via gait features within 3D skeleton sequences is a newly-
emerging topic with several advantages. Existing solutions either rely on hand-crafted …
emerging topic with several advantages. Existing solutions either rely on hand-crafted …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - arXiv preprint arXiv …, 2022 - arxiv.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …