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Performance Evaluation of Model-based Gait on Multi-view Very Large Population Database with Pose Sequences
2020
IEEE Transactions on Biometrics Behavior and Identity Science
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Second, it contains multi-view large-scale data, i.e., over 10,000 subjects and 14 views for each subject. ...
In this paper, we, therefore, address the remaining issue by presenting a large-scale human pose-based gait database, OUMVLP-Pose, which is based on a publicly available multiview large-scale gait database ...
Xiang Li for his help with the computer resource setup. ...
doi:10.1109/tbiom.2020.3008862
fatcat:bnib4kb7zjhypi26gphodmy4bq
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
[article]
2022
arXiv
pre-print
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Particularly, the inherent hierarchical semantics of body joints in a skeleton is leveraged to design a novel Multi-Scale Gait Graph (MSGG) network for the feature extraction of skeletons. ...
Gait recognition captures gait patterns from the walking sequence of an individual for identification. ...
multi-scale information for gait recognition. ...
arXiv:2110.13408v2
fatcat:ywqrswt5rffh7kgfci4dqzg5vm
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2211.10598v1 fatcat:auj6ieteyffbpmtidp26lswvcu
margin, while it also offers stable cross-view results. (3) The LiDAR sensor is superior to the RGB camera for gait recognition in the outdoor environment. ...
Extensive experiments show that (1) 3D structure information serves as a significant feature for gait recognition. (2) LidarGait outperforms existing point-based and silhouette-based methods by a significant ...
First, we proposed a novel multi-view projection network for point cloud gait recognition, named MVPNet, to exploit 3D human geometry from multi-view representations. ...
arXiv:2211.10598v2
fatcat:ibrkfcaczbcvhpromrx6b6u2em
Towards Complete-View and High-Level Pose-based Gait Recognition
[article]
2022
arXiv
pre-print
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In this paper, we propose to generate multi-view pose sequences for each single-view pose sample by learning full-rank transformation matrices via lower-upper generative adversarial network (LUGAN). ...
The model-based gait recognition methods usually adopt the pedestrian walking postures to identify human beings. ...
adversarial network to extract more features from multi-view gait sequences. ...
arXiv:2209.11577v1
fatcat:5izrnw5h4ncvrktpmr6vivjv2m
Learning optimised representations for view-invariant gait recognition
2017
2017 IEEE International Joint Conference on Biometrics (IJCB)
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In this paper, we explore the potential of combining feature optimisers and representations learned by convolutional neural networks (CNN) to achieve efficient view-invariant gait recognition. ...
, achieving a high matching accuracy across views. ...
In the first category, researchers seek for view-invariant features from single-view gait silhouette sequences, and perform recognition under a lateral view (90 • ). ...
doi:10.1109/btas.2017.8272769
dblp:conf/icb/JiaSL17
fatcat:s44s7xqrv5ahbc43ivujqsnvvi
Deep Gait Recognition: A Survey
[article]
2022
arXiv
pre-print
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We conclude this survey with a discussion on current challenges and mention a number of promising directions for future research in gait recognition. ...
Gait recognition is an appealing biometric modality which aims to identify individuals based on the way they walk. ...
Multi-View Recognition A large number of gait datasets contain multi-view sequences, providing gait information captured from different view-points. ...
arXiv:2102.09546v2
fatcat:iwzddzjy2rhunbuqz7h6tso5ii
Gait Recognition in Large-scale Free Environment via Single LiDAR
[article]
2024
arXiv
pre-print
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2022 pre-print arXiv:2211.12371v1 fatcat:in3qpf5hmnazvdrshchpzy56ja
In this paper, based on a single LiDAR, we present the Hierarchical Multi-representation Feature Interaction Network (HMRNet) for robust gait recognition. ...
To facilitate LiDAR-based gait recognition research, we introduce FreeGait, a comprehensive gait dataset from large-scale, unconstrained settings, enriched with multi-modal and varied 2D/3D data. ...
outdoor scenarios. • We propose a novel gait recognition method based on multi-modal visual data. ...
arXiv:2211.12371v2
fatcat:xktftsfewjgwtofw4zv3afnaf4
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
[article]
2020
arXiv
pre-print
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In this context, we propose a novel deep network, learning to transfer multi-scale partial gait representations using capsules to obtain more discriminative gait features. ...
Our network first obtains multi-scale partial representations using a state-of-the-art deep partial feature extractor. ...
The authors would like to thank the BMO Bank of Montreal and Mitacs for funding this research. ...
arXiv:2010.09084v1
fatcat:zjaofv7irzbb3h4ex4uyhb54r4
Metric-Based Key Frame Extraction for Gait Recognition
2022
Electronics
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In this paper, we propose a novel gait recognition framework to analyze human gait. ...
On the one hand, we designed the Multi-scale Temporal Aggregation (MTA) module that models temporal and aggregate contextual information with different scales, on the other hand, we introduce the Metric-based ...
[2] hypothesized that the appearance of a silhouette contains position information and the sequence information of gait was unnecessary for recognition, so they proposed a novel network named GaitSet ...
doi:10.3390/electronics11244177
fatcat:njns5karyjhw5kbosv7dtllaxq
HiH: A Multi-modal Hierarchy in Hierarchy Network for Unconstrained Gait Recognition
[article]
2024
arXiv
pre-print
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2023 pre-print arXiv:2311.11210v1 fatcat:lt4ylucatndfnfxyoso5ztajn4
To address these issues, we present a multi-modal Hierarchy in Hierarchy network (HiH) that integrates silhouette and pose sequences for robust gait recognition. ...
Complementing this, an auxiliary branch, based on 2D joint sequences, enriches the spatial and temporal aspects of gait analysis. ...
Specifically, we introduce a multi-modal Hierarchy in Hierarchy network (HiH) for unconstrained gait recognition. HiH consists of two branches. ...
arXiv:2311.11210v2
fatcat:ufjlupuuvzbvllxlibempt4kky
Multi-scale Context-aware Network with Transformer for Gait Recognition
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2204.03270v2 fatcat:bj5ieiqatfh7fhb2fl6zpwn6neOther Versions
(MCAT) for gait recognition. ...
Inspired by the observation that humans can distinguish gaits of different subjects by adaptively focusing on clips of varying time scales, we propose a multi-scale context-aware network with transformer ...
Motivated by such observation, we propose a contextsensitive temporal feature learning (CSTL) network for gait recognition. ...
arXiv:2204.03270v3
fatcat:dqsc23mtc5atdphycizwnwg4oe
RealGait: Gait Recognition for Person Re-Identification
[article]
2023
arXiv
pre-print
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Based on this dataset, a consistent and comparative study between gait recognition and person re-identification can be carried out. ...
Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel ...
view, while in a multi-view recognition task, sequences of all views are registered in the gallery set. ...
arXiv:2201.04806v2
fatcat:4dy2eer2dvggnj5mzfiprr5fai
Gait Recognition in the Wild with Multi-hop Temporal Switch
[article]
2022
arXiv
pre-print
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Concretely, we design a novel gait recognition network, named Multi-hop Temporal Switch Network (MTSGait), to learn spatial features and multi-scale temporal features simultaneously. ...
Existing studies for gait recognition are dominated by in-the-lab scenarios. ...
and sequence-based gait recognition methods sample a sequence with a fixed length as the input. ...
arXiv:2209.00355v1
fatcat:g466pjiogvf4db2jp5wd3sfch4
A Brief Survey on Person Recognition at a Distance
[article]
2022
arXiv
pre-print
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In particular, we review recent work in multi-spectral face verification, person re-identification, and gait-based analysis techniques. ...
In this paper, we provide a brief survey of recent advances in person recognition at a distance. ...
The last representation is sequence volumes, which are simply stacks of the gait images into a single multi-channel input image for a neural network. ...
arXiv:2212.08969v1
fatcat:uguxl4ilxjaydilmvcfg3iyrdy
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2206.13732v1 fatcat:cvat2gdvfrbubkhsfybpk7qvzm
This survey reviews the existing deep gait recognition methods through a novel view based on our proposed taxonomy. ...
Gait recognition aims to identify a person at a distance, serving as a promising solution for long-distance and less-cooperation pedestrian recognition. ...
Multi-scale learning can enhance the discriminative capabilities of different human body parts. Increasing attention to multi-scale learning is also gained for gait recognition in recent years. ...
arXiv:2206.13732v2
fatcat:dk4gi3lqljds5hfpzaniqpitre
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