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A Self-Attention Augmented Graph Convolutional Clustering Networks for Skeleton-Based Video Anomaly Behavior Detection

Chengming Liu, Ronghua Fu, Yinghao Li, Yufei Gao, Lei Shi, Weiwei Li
<span title="2021-12-21">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
In this paper, we propose a new method for detecting abnormal human behavior based on skeleton features using self-attention augment graph convolution.  ...  As far as we know, we are the first group to utilize self-attention for video anomaly detection tasks by enhancing spatial temporal graph convolution.  ...  Graph Convolutional Neural Networks The implementation methods for graph convolutional neural networks (GCN) are mainly divided into two categories: (1) Spectral-based method and (2) Spatial-based method  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12010004">doi:10.3390/app12010004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2cufica45rapfluo74b4563ezu">fatcat:2cufica45rapfluo74b4563ezu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211231004848/https://mdpi-res.com/d_attachment/applsci/applsci-12-00004/article_deploy/applsci-12-00004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ba/b4/bab45086c4cb547002cefa7138fd2b6d0b8fb18c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12010004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos [article]

Xianlin Zeng, Yalong Jiang, Wenrui Ding, Hongguang Li, Yafeng Hao, Zifeng Qiu
<span title="2021-12-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Deep learning models have been widely used for anomaly detection in surveillance videos.  ...  In this paper, we propose a Hierarchical Spatio-Temporal Graph Convolutional Neural Network (HSTGCNN) to address these problems, the HSTGCNN is composed of multiple branches that correspond to different  ...  We name it Hierarchical Spatial-Temporal Graph Convolutional Neural Network (HSTGCNN).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.04294v2">arXiv:2112.04294v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vi26nkpf2jhc7b2sjseo4b4rii">fatcat:vi26nkpf2jhc7b2sjseo4b4rii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211210031507/https://arxiv.org/pdf/2112.04294v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/1a/b01a73fc0d97c56587e2675618aaa258cc81d7da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.04294v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

An Abnormal Behavior Detection Method using Optical Flow Model and OpenPose

Zhu Bin, Xie Ying, Luo Guohu, Chen Lei
<span title="">2020</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
At the same time, the OpenPose deep convolutional neural network is used to extract body skeleton and persons in image can be located.  ...  Abnormal behavior detection and recognition of pedestrian in escalator has always been a challenging task in intelligent video surveillance system.  ...  neural network based on human body region is proposed to distinguish human behavior; in [12] [13] , different convolution neural networks are designed for tools and actions of pedestrian hands in the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2020.0110505">doi:10.14569/ijacsa.2020.0110505</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dbnswo2lrrcnrcjhcxjcqlkqhe">fatcat:dbnswo2lrrcnrcjhcxjcqlkqhe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710032213/https://thesai.org/Downloads/Volume11No5/Paper_5-An_Abnormal_Behavior_Detection_Method.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3a/ad/3aadcf4a400a33a9475f99bcd6afd6bdb9cb5cc2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2020.0110505"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

RGB-D Data-Based Action Recognition: A Review

Muhammad Bilal Shaikh, Douglas Chai
<span title="2021-06-21">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Naturally, each action-data modality—such as RGB, depth, skeleton, and infrared (IR)—has distinct characteristics; therefore, it is important to exploit the value of each modality for better action recognition  ...  Success in producing cost-effective and portable vision-based sensors has dramatically increased the number and size of datasets.  ...  Graph Convolutional Networks (GCN) are also considered as one of the basic Graph Neural Networks variants. Convolution in GCNs is the same operation as in CNNs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21124246">doi:10.3390/s21124246</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7dvocdy63rckne5yunhfsnr4p4">fatcat:7dvocdy63rckne5yunhfsnr4p4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210622194332/https://res.mdpi.com/d_attachment/sensors/sensors-21-04246/article_deploy/sensors-21-04246-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4c/70/4c70dd228206c8d46afa111d08c85dd3831f6a48.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21124246"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G. Sreenu, M. A. Saleem Durai
<span title="2019-06-06">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pkhnkszyprhb3orbf6g7tqmgiu" style="color: black;">Journal of Big Data</a> </i> &nbsp;
The anomalous or abnormal activity analysis in a crowd video scene is very difficult due to several real world constraints.  ...  In crowded public places the term security covers almost all type of abnormal events. Among them violence detection is difficult to handle since it involves group activity.  ...  concepts [8] 9 Human Action Recognition using 3D convolutional neural networks with 3D Motion Cuboids in Surveillance Videos [9] 10 Neural networks based visual attention model for surveillance videos  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-019-0212-5">doi:10.1186/s40537-019-0212-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mh7d5d5c5zeczf5sdmgwz3claq">fatcat:mh7d5d5c5zeczf5sdmgwz3claq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200212172454/https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0212-5" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/95/5b95d0b8838979fea86552593c0b447b735ad54a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40537-019-0212-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Literature Review of Action Recognition in the Wild [article]

Asket Kaur, Navya Rao, Tanya Joon
<span title="2019-11-27">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Action Recognition problem in the untrimmed videos is a challenging task and most of the papers have tackled this problem using hand-crafted features with shallow learning techniques and sophisticated  ...  Overview In this paper by extending graph neural networks to a spatial-temporal graph model called Spatial-Temporal Graph Convolutional Networks, they design a generic representation of skeleton sequences  ...  SKELETON-BASED ACTION RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORK A. Authors (Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu) B.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.12249v1">arXiv:1911.12249v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/46qu4wtyqvhuxcomoymdd5owcm">fatcat:46qu4wtyqvhuxcomoymdd5owcm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826020616/https://arxiv.org/pdf/1911.12249v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e6/02/e6020c184b7c3c4f41475510008dfbebe50930df.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.12249v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents [article]

Satoshi Hashimoto, Yonghoon Ji, Kenichi Kudo, Takayuki Takahashi, Kazunori Umeda
<span title="2020-05-28">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper proposes an anomaly detection method for the prevention of industrial accidents using machine learning technology.  ...  [10] , with which it is possible to detect 25 skeleton points of persons from one image by using a convolutional neural network (CNN).  ...  In order to prevent industrial accidents, we focus in this paper on detecting abnormal behavior using video that can be acquired from cameras installed in factories.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.13734v1">arXiv:2005.13734v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ms3cmwlofbgn3fiwkzgqdm7diq">fatcat:ms3cmwlofbgn3fiwkzgqdm7diq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200603151900/https://arxiv.org/ftp/arxiv/papers/2005/2005.13734.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/f6/91f62d1a53479c799c4d7d6d19d5503dd0b6cb37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.13734v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Multi Chunk Learning Based Auto Encoder for Video Anomaly Detection

Xiaosha Qi, Genlin Ji, Jie Zhang, Bo Sheng
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a6m5ovtnq5h6bb2dcb357moo4a" style="color: black;">Intelligent Automation and Soft Computing</a> </i> &nbsp;
Video anomaly detection is essential to distinguish abnormal events in large volumes of surveillance video and can benefit many fields such as traffic management, public security and failure detection.  ...  In order to avoid omitting important features and improve the accuracy of abnormal event detection and localization, this paper proposes a novel method called Multi Chunk Learning based Skip Connected  ...  [22] propose a prediction network based on spatial temporal graph convolutional networks for skeleton-based video anomaly detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/iasc.2022.027182">doi:10.32604/iasc.2022.027182</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t4mi4uqepngi5oqkgdvqsujose">fatcat:t4mi4uqepngi5oqkgdvqsujose</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220325012819/https://www.techscience.com/ueditor/files/iasc/TSP_IASC-33-3/TSP_IASC_27182/TSP_IASC_27182.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/74/1c74fb2a88acad519d0cc41fd40eb1174f035bb1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/iasc.2022.027182"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Human Behavior Analysis: A Survey on Action Recognition

Bruno Degardin, Hugo Proença
<span title="2021-09-08">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
The problem is challenging due to its many interpersonal variations in appearance and motion dynamics between humans, without forgetting the environmental heterogeneity between different video images.  ...  However, this survey presents an overview of both categories and respective evolution within each one, the guidelines that should be followed and the current benchmarks employed for performance comparison  ...  neural networks in processing images, video, speech and audio.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11188324">doi:10.3390/app11188324</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zenvfhlaubht7ar3qrpil4lgdm">fatcat:zenvfhlaubht7ar3qrpil4lgdm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210908113818/https://mdpi-res.com/d_attachment/applsci/applsci-11-08324/article_deploy/applsci-11-08324.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/ae/f0ae71169295cb834145d71b581080beb8a7c42e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11188324"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Temporal action detection based on two-stream You Only Look Once network for elderly care service robot

Ke Wang, Xuejing Li, Jianhua Yang, Jun Wu, Ruifeng Li
<span title="2021-07-01">2021</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dlo33cxbtffljkmrdnlsbqmlcq" style="color: black;">International Journal of Advanced Robotic Systems</a> </i> &nbsp;
The proposed approach extracts spatial–temporal three-dimensional convolutional neural network features from video stream and view-invariant features from skeleton stream, respectively.  ...  This article provides a two-stream You Only Look Once-based network method, which fuses video and skeleton streams captured by a Kinect sensor, and our data encoding method is used to turn the spatiotemporal  ...  Actually, the joints of human skeleton constitute a graph structure, after graph convolutional networks (GCNs) were developed 35 and spatial-temporal GCNs based on GCN were generalized to human skeleton  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/17298814211038342">doi:10.1177/17298814211038342</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6awkuu3b4fdwta2cdjn7jdojlu">fatcat:6awkuu3b4fdwta2cdjn7jdojlu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211104004821/https://journals.sagepub.com/doi/pdf/10.1177/17298814211038342" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/05/800556ba8c6a3b66672dda2cf6d6e1e285dd84f6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/17298814211038342"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> sagepub.com </button> </a>

A Survey of Vision-Based Human Action Evaluation Methods

Qing Lei, Ji-Xiang Du, Hong-Bo Zhang, Shuang Ye, Duan-Sheng Chen
<span title="2019-09-24">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This paper presents a comprehensive survey of approaches and techniques in action evaluation research, including motion detection and preprocessing using skeleton data, handcrafted feature representation  ...  methods, and deep learning-based feature representation methods.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable and insightful comments on an earlier version of this manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19194129">doi:10.3390/s19194129</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31554229">pmid:31554229</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6806217/">pmcid:PMC6806217</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zgwsdv6xorfvxjck6rsjusezwe">fatcat:zgwsdv6xorfvxjck6rsjusezwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209182642/https://res.mdpi.com/d_attachment/sensors/sensors-19-04129/article_deploy/sensors-19-04129.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/74/89/7489a63332cb053b84d5a40a141e235981d3e638.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19194129"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806217" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An Intelligent Security Classification Model of Driver's Driving Behavior Based on V2X in IoT Networks

Songyin Dai, Yuan Zhong, Cheng Xu, Hongzhe Liu, Jiazheng Yuan, Pengfei Wang, Muhammad Arif
<span title="2022-05-11">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdme5pnua5auzcsjgqmqefb66m" style="color: black;">Security and Communication Networks</a> </i> &nbsp;
Firstly, according to the driver target detection for positioning, combined with the Pose Estimation to identify the driver in the process of driving a variety of driving behaviors, at the same time, a  ...  understand their abnormal driving behaviors and driving scores, which plays a significant role in IoT safety management.  ...  In the field of video human behavior recognition, there are mainly two mainstream methods: 3D-CNN [7] and Two-Stream Convolutional Networks [8] . ①3D-CNN: the traditional Convolutional Neural Network  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/6793365">doi:10.1155/2022/6793365</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5lnomm4lnzgbzpgvpvkolk34bq">fatcat:5lnomm4lnzgbzpgvpvkolk34bq</a> </span>
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Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies [article]

Masoud Pourreza, Mohammadreza Salehi, Mohammad Sabokrou
<span title="2021-04-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Video anomaly detection has proved to be a challenging task owing to its unsupervised training procedure and high spatio-temporal complexity existing in real-world scenarios.  ...  To address this issue, we propose a novel yet efficient method named Ano-Graph for learning and modeling the interaction of normal objects.  ...  1, 86, 19, 64] , SSL methods [89, 17, 39] , using pre-trained neural networks [50, 88, 63] , extracting human body's skeleton graphs [47, 45] , GAN [20] based approaches [56, 32] or combinations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.10502v2">arXiv:2103.10502v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g3uhxx7kgbgabdsyj5b76be6fm">fatcat:g3uhxx7kgbgabdsyj5b76be6fm</a> </span>
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Weapon Detection Using YOLO V3 for Smart Surveillance System

Sanam Narejo, Bishwajeet Pandey, Doris Esenarro vargas, Ciro Rodriguez, M. Rizwan Anjum, Zain Anwar Ali
<span title="2021-05-11">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
The training results confirm that YOLO V3 outperforms YOLO V2 and traditional convolutional neural network (CNN).  ...  In this work, we develop a computer-based fully automated system to identify basic armaments, particularly handguns and rifles.  ...  Researchers proposed anomaly-introduced learning method for detecting anomalous activities by developing multi-instance learning graph-based model with abnormal and normal bimodal data, highlighting the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/9975700">doi:10.1155/2021/9975700</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mf66ecbr5raldbf63frihh2oty">fatcat:mf66ecbr5raldbf63frihh2oty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210513113456/https://downloads.hindawi.com/journals/mpe/2021/9975700.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e6/f2/e6f26a73afc25481f0de7d7c41c4fa9d34740992.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/9975700"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Recognition of Rare Low-Moral Actions Using Depth Data

Kanghui Du, Thomas Kaczmarek, Dražen Brščić, Takayuki Kanda
<span title="2020-05-12">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
The results show that both depth data and skeleton based classifiers were able to achieve similar classification accuracy on this dataset (Top-1: around 55%, Top-5: around 90%).  ...  Detecting and recognizing low-moral actions in public spaces is important.  ...  State-of-the-art skeleton data classifiers: We tested two of the currently best performing neural network structures for skeleton data based action recognition: Spatial-Temporal Graph Convolutional Network  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20102758">doi:10.3390/s20102758</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32408586">pmid:32408586</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/25gdn546uzas3m4jxps73og6ge">fatcat:25gdn546uzas3m4jxps73og6ge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104111122/https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/253688/1/s20102758.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/a8/78a8605e187dc7f8b508b4f7b10854ead24b7d85.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20102758"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>
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