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Multi-view gait recognition using 3D convolutional neural networks

Thomas Wolf, Mohammadreza Babaee, Gerhard Rigoll
2016 2016 IEEE International Conference on Image Processing (ICIP)  
In this work we present a deep convolutional neural network using 3D convolutions for Gait Recognition in multiple views capturing spatio-temporal features.  ...  In contrast to most state-of-the-art Gait Recognition systems the used neural network is able to generalize gait features across multiple large view angle changes.  ...  The next section describes how we combine the ides presented in [11] , [13] and [15] to come up with a 3D Convolutional Neural Network for Gait Recognition.  ... 
doi:10.1109/icip.2016.7533144 dblp:conf/icip/WolfBR16 fatcat:6mgjbxyibjexfkw5x3jjvdne3e

KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network

A. S. M. Hossain Bari, Marina L. Gavrilova
2022 Sensors  
This paper proposes a convolutional neural network KinectGaitNet for Kinect-based gait recognition.  ...  The proposed deep learning architecture surpasses the recognition performance of all state-of-the-art methods for Kinect-based gait recognition by achieving 96.91% accuracy on UPCV and 99.33% accuracy  ...  Defense Excellence and Security Network (IDEaS) for the partial funding of this project.  ... 
doi:10.3390/s22072631 pmid:35408243 pmcid:PMC9002886 fatcat:xeq3fct3wvai7oda2mvsmqfv4y

GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding [article]

Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Hoang Le Uyen Thuc, Kwang-Ju Kim
2022 arXiv   pre-print
In this paper, we propose a novel gait recognition framework, called Temporal Attention and Keypoint-guided Embedding (GaitTAKE), which effectively fuses temporal-attention-based global and local appearance  ...  However, to the best of our knowledge, most of the existing methods use appearance, posture and temporal feautures without considering a learned temporal attention mechanism for global and local information  ...  First, the 3D convolution is applied to extract more representative features from the silhouette images, since 3D convolution network is proved as an effective feature extractor for gait recognition [  ... 
arXiv:2207.03608v2 fatcat:xtszin54l5ca7mev3l3jwq26lu

CJAM: Convolutional Neural Network Joint Attention Mechanism in Gait Recognition

Pengtao JIA, Qi ZHAO, Boze LI, Jing ZHANG
2021 IEICE transactions on information and systems  
In this work, we proposed a new model -the convolutional neural network (CNN) joint attention mechanism (CJAM) -to classify the gait sequences and conduct person identification using the CASIA-A and CASIA-B  ...  Gait recognition is a challenging signal processing technology for biometric identification due to the ambiguity of contours and the complex feature extraction procedure.  ...  In addition, Thomas Wolf et al. applied the 3D convolution neural network to the field of multiview gait recognition and achieved remarkable results [22] .  ... 
doi:10.1587/transinf.2020bdp0010 fatcat:ryqbozvmsjaljhujfddyl2i4ne

Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images [article]

Qiang Chen, Yunhong Wang, Zheng Liu, Qingjie Liu, Di Huang
2017 arXiv   pre-print
In this paper, we develop a novel convolutional neural network based approach to extract and aggregate useful information from gait silhouette sequence images instead of simply representing the gait process  ...  Cross-view gait recognition experiments are conducted on OU-ISIR large population dataset.  ...  suitable for train-ing deep neural networks.  ... 
arXiv:1711.09358v1 fatcat:6jljlh6w6zes7fklkpmrwjpewm

Wearable Device-Based Gait Recognition Using Angle Embedded Gait Dynamic Images and a Convolutional Neural Network

Yongjia Zhao, Suiping Zhou
2017 Sensors  
In this paper, an image-based parametric gait recognition approach using the convolutional neural network (CNN) for training and classification is proposed. The main contributions of this paper are:  ...  To cope with this problem, we propose a novel image-based gait recognition approach using the Convolutional Neural Network (CNN) without the need to manually extract discriminative features.  ...  Convolutional Neural Network Convolutional Neural Network (CNN) is a type of feed-forward deep neural networks which is typically comprised of one or more convolutional layers followed by several fully  ... 
doi:10.3390/s17030478 pmid:28264503 pmcid:PMC5375764 fatcat:vdsbyrozfnhazc5o6b4dptleta

JointsGait:A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping [article]

Na Li, Xinbo Zhao, Chong Ma
2020 arXiv   pre-print
Unlike previous approaches, JointsGait firstly extracted spatio-temporal features from 2D joints using gait graph convolutional networks, which are less interfered by external factors.  ...  Considering 3D pose estimation is more challenging than 2D pose estimation in practice , we research on using 2D joints to recognize gait in this paper, and a new model-based gait recognition method JointsGait  ...  Graph convolutional neural networks Nowadays, with advancement of deep neural networks, graph convolutional networks (GCNs) has developed rapidly [25, 26, 27, 28, 29] .  ... 
arXiv:2005.08625v2 fatcat:mekzjf2eu5ax7o24qc2fmpwsbq

Deep Gait Recognition: A Survey [article]

Alireza Sepas-Moghaddam, Ali Etemad
2022 arXiv   pre-print
We conclude this survey with a discussion on current challenges and mention a number of promising directions for future research in gait recognition.  ...  We first review the commonly used gait datasets along with the principles designed for evaluating them.  ...  Convolutional Neural Networks Convolutional neural networks (CNNs) have been used the most for gait recognition.  ... 
arXiv:2102.09546v2 fatcat:iwzddzjy2rhunbuqz7h6tso5ii

Spatial Transformer Network on Skeleton-based Gait Recognition [article]

Cun Zhang, Xing-Peng Chen, Guo-Qiang Han, Xiang-Jie Liu
2022 arXiv   pre-print
In this work, we propose a state-of-the-art robust skeleton-based gait recognition model called Gait-TR, which is based on the combination of spatial transformer frameworks and temporal convolutional networks  ...  Moreover, our experiment on CASIA-B shows that the spatial transformer can extract gait features from the human skeleton better than the widely used graph convolutional network.  ...  On the other hand, MT3D applies a multiple-temporal-scale 3D Convolutional Neural Network to extract both small and large temporal scales gait information.  ... 
arXiv:2204.03873v1 fatcat:3hsxqdotcjafhbvot4zpdag45a

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation [article]

Beibei Lin, Shunli Zhang, Xin Yu
2021 arXiv   pre-print
In this paper, we propose a novel feature extraction and fusion framework to achieve discriminative feature representations for gait recognition.  ...  Recent gait recognition frameworks represent each gait frame by descriptors extracted from either global appearances or local regions of humans.  ...  The support and resources from the Center for High Performance Computing at Beijing Jiaotong University(http://hpc.bjtu.edu.cn) are gratefully acknowledged.  ... 
arXiv:2011.01461v2 fatcat:7huvgxbdjbb7hm6jpy3rcbfkji

VGR-net: A view invariant gait recognition network

Daksh Thapar, Aditya Nigam, Divyansh Aggarwal, Punjal Agarwal
2018 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA)  
In this paper, we propose a 3-D Convolution Deep Neural Network for person identification using gait under multiple view.  ...  Gait can be seen as an essential biometric feature for human recognition and identification.  ...  In this work we have compared our 2-stage deep 3D convolutional neural network with the current state-of-the-art network proposed in [16] .  ... 
doi:10.1109/isba.2018.8311475 dblp:conf/isba/ThaparNAA18 fatcat:woi4ut6ew5gbjlex7h76va7ss4

A Multi-View Gait Recognition Method Using Deep Convolutional Neural Network and Channel Attention Mechanism

Jiabin Wang, Kai Peng
2020 CMES - Computer Modeling in Engineering & Sciences  
Therefore, the combination of convolutional neural network and channel attention mechanism is of great value for gait recognition.  ...  To better solve the problems, a multi-view gait recognition method using deep convolutional neural network and channel attention mechanism is proposed.  ...  Gait Feature Extraction For gait feature extraction, we propose a deep convolutional neural network architecture, which is suitable for gait recognition.  ... 
doi:10.32604/cmes.2020.011046 fatcat:rxe3csrog5gxbo7ih2qxa6y5gm

3D CONVOLUTION NEURAL NETWORKBASED PERSON IDENTIFICATION USING GAIT CYCLES

Virupakshappa
2019 INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY  
The steps involve object detection, background subtraction, silhouettes extraction, skeletonization, and training 3D Convolution Neural Network (3D-CNN) on these gait features.  ...  In modern times security is becoming the key term for an individual or a country, especially for countries which are facing internal or external threats.  ...  Convolution Neural Network-Based Person Identification Using Gait Cycles http://iaeme.com/Home/journal/IJARET http://iaeme.com/Home/journal/IJARET 3D Convolution Neural Network-Based Person  ... 
doi:10.34218/ijaret.10.6.2019.053 fatcat:3pl3c3m74fbazb7ibuynvmlvna

Multiview Gait Recognition on Unconstrained Path Using Graph Convolutional Neural Network

Md. Shopon, Gee-Sern Jison Hsu, Marina L. Gavrilova
2022 IEEE Access  
A graph neural network-based method is proposed for gait recognition along unconstrained path.  ...  This paper introduces a novel approach for gait recognition which aims to recognize subjects walking along an unconstrained path.  ...  CONCLUSION This paper proposed a residual connection-based graph convolutional neural network for unconstrained path gait recognition.  ... 
doi:10.1109/access.2022.3176873 fatcat:dnwu7yxznzhoziibqriv33lsmq

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges [article]

Chuanfu Shen, Shiqi Yu, Jilong Wang, George Q. Huang, Liang Wang
2022 arXiv   pre-print
This paper provides a comprehensive survey of deep learning for gait recognition.  ...  Then deep learning for gait recognition is discussed from the perspective of deep representations and architecture with an in-depth summary.  ...  The Convolutional Neural Networks (CNNs) [15] , [105] , [119] are the primary and seminal backbone networks among deep gait recognition models.  ... 
arXiv:2206.13732v1 fatcat:cvat2gdvfrbubkhsfybpk7qvzm
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