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Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning [article]

Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun
<span title="2021-04-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Self-supervised learning has shown great potentials in improving the video representation ability of deep neural networks by getting supervision from the data itself.  ...  To mitigate the model reliance towards the background, we propose to remove the background impact by adding the background.  ...  and obtain a more robust representation towards the motion.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.05769v4">arXiv:2009.05769v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ejjrwqyqabg3rnddoahw7egmcu">fatcat:ejjrwqyqabg3rnddoahw7egmcu</a> </span>
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Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations [article]

Chaitanya K. Ryali, David J. Schwab, Ari S. Morcos
<span title="2021-11-12">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent progress in self-supervised learning has demonstrated promising results in multiple visual tasks.  ...  An important ingredient in high-performing self-supervised methods is the use of data augmentation by training models to place different augmented views of the same image nearby in embedding space.  ...  Acknowledgments We thank Xinlei Chen, Mathilde Caron, and Saining Xie for helpful discussions, and Ting-Wu Rudy Chin and Matthew Leavitt for feedback on an early draft of the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.12719v2">arXiv:2103.12719v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qaxu7ypdmvcqjez6s5hx3s6slq">fatcat:qaxu7ypdmvcqjez6s5hx3s6slq</a> </span>
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Robust Pan/Tilt Compensation for Foreground–Background Segmentation

Gianni Allebosch, David Van Hamme, Peter Veelaert, Wilfried Philips
<span title="2019-06-13">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
In this paper, we describe a robust method for compensating the panning and tilting motion of a camera, applied to foreground–background segmentation.  ...  The resulting algorithm is always able to obtain F 1 scores above 80 % on every daytime video in our test set when a minimal number of only eight feature matches are used to determine the background compensation  ...  Acknowledgments: The authors would like to thank the creators of the ChangeDetection.NET 2014 dataset for their efforts in recording and annotating the videos, and in providing the necessary tools to evaluate  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19122668">doi:10.3390/s19122668</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vsz4f7fcfvd7bpauvqyjuchnaa">fatcat:vsz4f7fcfvd7bpauvqyjuchnaa</a> </span>
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Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium [article]

Xiran Wang, Jason Juang, Stanley H. Chan
<span title="2020-05-31">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our proposed method is very robust and produces significantly better estimates than state-of-the-art background subtraction, video segmentation and alpha matting methods.  ...  Examples include filming and surveillance where the background can be captured before the objects enter the scene or after they leave the scene.  ...  By calling individual estimators as agents, we can imagine that the agents are asserting forces to pull the information towards themselves.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1808.08210v3">arXiv:1808.08210v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5kirsmy5vvhydhogtneqfnuvuu">fatcat:5kirsmy5vvhydhogtneqfnuvuu</a> </span>
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TensorMoG: A Tensor-Driven Gaussian Mixture Model with Dynamic Scene Adaptation for Background Modelling

Synh Viet-Uyen Ha, Nhat Minh Chung, Hung Ngoc Phan, Cuong Tien Nguyen
<span title="2020-12-06">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 incoming frames to update the background or simply discard them.  ...  These entropy estimations are used in order to assess the uncertainty level of a constructed background, which predicts both the present and future variations from the inputs, thereby opting to use either  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20236973">doi:10.3390/s20236973</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33291320">pmid:33291320</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7729891/">pmcid:PMC7729891</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wjuppaq5drgwnee6bqy4evtpiu">fatcat:wjuppaq5drgwnee6bqy4evtpiu</a> </span>
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Towards Real-Time Service from Remote Sensing: Compression of Earth Observatory Video Data via Long-Term Background Referencing

Jing Xiao, Rong Zhu, Ruimin Hu, Mi Wang, Ying Zhu, Dan Chen, Deren Li
<span title="2018-06-05">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Then, it analyzes the factors affecting the variations in the image representations of the background.  ...  LBR is induced by the repetition of static landscapes across multiple video clips and becomes significant as the number of video clips shot of the same area increases.  ...  This work is supported by the National Natural Science Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10060876">doi:10.3390/rs10060876</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ekpxq2w3zvfalmftgblzz3j3ra">fatcat:ekpxq2w3zvfalmftgblzz3j3ra</a> </span>
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Background Subtraction for Moving Object Detection in RGBD Data: A Survey

Lucia Maddalena, Alfredo Petrosino
<span title="2018-05-16">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/au3ye363lzbdroopx7rzfyv63m" style="color: black;">Journal of Imaging</a> </i> &nbsp;
The measured depth map can be noisy both spatially and 84 temporally, and noise is content-dependent and hence difficult to remove by traditional filtering 85 methods. 86 3.  ...  103 blocking the IR light emitted by the sensor from reaching the background. 104 • Specular Materials: When the scene includes specular objects, IR rays from a single incoming 105 direction are reflected  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging4050071">doi:10.3390/jimaging4050071</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sincz3zvf5bf3pix74mpbogfcu">fatcat:sincz3zvf5bf3pix74mpbogfcu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728093456/https://res.mdpi.com/def50200884521382acf8346f29ea48893f4df6175b9cebda03bd820789172ac41f41fbd8ecd3a92e9065baada84a41e3880f3b38b2ba866a236dd1f7065ec4690d454509a62f1117108fbdbda4bb65bb5230628fad80c4605df40295c6169209f45e7ea62a99fb4ab952ac15bde9bd1cd9e4cfe1a31be68915c59971c7c6243d2a18ee684560c4e30a50056319888f6528ee2?filename=&amp;attachment=1" 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/cc/19/cc1905d6949a71f79e08a8d145cd93cf5a14be74.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging4050071"> <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>

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints [article]

Xingzhe He, Bastian Wandt, Helge Rhodin
<span title="2022-05-21">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a self-supervised method that learns to disentangle object structure from the appearance with a graph of 2D keypoints linked by straight edges.  ...  However, their supervised learning requires expensive annotation for each target domain.  ...  By contrast, existing self-supervised keypoint learning methods model objects as a set of independent parts.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.10636v1">arXiv:2205.10636v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fb2q3xyek5fsxarjhgthtjwlya">fatcat:fb2q3xyek5fsxarjhgthtjwlya</a> </span>
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Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics

L. Wolf, T. Hassner, Y. Taigman
<span title="">2011</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3px634ph3vhrtmtuip6xznraqi" style="color: black;">IEEE Transactions on Pattern Analysis and Machine Intelligence</a> </i> &nbsp;
(c) We show how labeled background samples, when available, may further improve classification performance, by employing a unique pair-matching pipeline.  ...  (b) We demonstrate how semi-labeled background samples may be used to better evaluate image similarities. To this end we describe a number of novel, effective similarity measures.  ...  The design of these descriptors is inspired by the Self-Similarity descriptor of [50] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2010.230">doi:10.1109/tpami.2010.230</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21173442">pmid:21173442</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fywdeonmujc7zhkekfew67kzje">fatcat:fywdeonmujc7zhkekfew67kzje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923010651/http://www.openu.ac.il/home/hassner/projects/Patchlbp/WolfHassnerTaigman_TPAMI11.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/1d/02/1d022305553ace5c1c6ff7123a133afd62e9acb2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2010.230"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Survey on Video Analysis of Human Walking Motion

S. Nissi Paul, Y. Jayanta Singh
<span title="2014-06-30">2014</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ym6wyoim55h6lliru6w4ssplki" style="color: black;">International Journal of Signal Processing, Image Processing and Pattern Recognition</a> </i> &nbsp;
Typically, the analysis of the human walking starts with the extraction of motion information, detection of the presence of humans in the sequences of frames and then followed by analysis of events related  ...  In computer vision related applications, video analysis of human walking motion is currently one of the most active research topics.  ...  and self-learning techniques are used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsip.2014.7.3.10">doi:10.14257/ijsip.2014.7.3.10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fr7h75fowraffnbo4v3gt7v45e">fatcat:fr7h75fowraffnbo4v3gt7v45e</a> </span>
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D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations [article]

Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
<span title="2021-08-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
to foreground-background noise caused by weak supervision.  ...  The denoising loss term explicitly addresses the foreground-background noise in class activations by simultaneously maximizing intra-video and inter-video mutual information using a bottom-up attention  ...  Acknowledgements This work is partially supported by ARC DECRA Fellowship DE200101100, NSF CAREER Grant #1149783 and VR starting grant 2016-05543.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.06440v2">arXiv:2012.06440v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/thx5tinurjh4tnuj6y4elqllp4">fatcat:thx5tinurjh4tnuj6y4elqllp4</a> </span>
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Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis [article]

Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
<span title="2020-04-09">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Acknowledging this, we propose a self-supervised learning framework to disentangle such variations from unlabeled video frames.  ...  As a result, the learned model not only inculcates task-bias but also dataset-bias because of its strong reliance on the annotated samples, which also holds true for weakly-supervised models.  ...  is robust enough to learn from large-scale in-the-wild videos, even in the presence of camera movements.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.04400v1">arXiv:2004.04400v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gxjrtfgkpff2peilkm3lhvx2oq">fatcat:gxjrtfgkpff2peilkm3lhvx2oq</a> </span>
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Person Re-Identification [article]

Mustafa Ebrahim Chasmai, Tamajit Banerjee
<span title="2022-04-27">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Due to the increasing demand for intelligent video surveillance, Re-ID has gained significant interest in the computer vision community.  ...  This work was the report submitted for COL780 final project at IIT Delhi.  ...  learned by the added camera layers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.13158v1">arXiv:2204.13158v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mmsfvtsnengp7lneeofxqu5g6e">fatcat:mmsfvtsnengp7lneeofxqu5g6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220505172302/https://arxiv.org/pdf/2204.13158v1.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/74/74/7474e553222529bf34249230ece9ee3935ca28c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.13158v1" 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>

Co-Tracking Using Semi-Supervised Support Vector Machines

Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/753trptklbb4nj6jquqadzwwdu" style="color: black;">2007 IEEE 11th International Conference on Computer Vision</a> </i> &nbsp;
Compared to other discriminative trackers, the online semi-supervised learning approach improves each individual classifier using the information from other features, thus leading to a more robust tracker  ...  The semi-supervised learning approach then uses the output of the combined confidence map to generate new samples and update the SVMs online.  ...  Acknowledgement This research has been supported by research grants US-NSF (National Science Foundation), IIS-0348020.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2007.4408954">doi:10.1109/iccv.2007.4408954</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccv/TangBZT07.html">dblp:conf/iccv/TangBZT07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/liducprcgbhlne3xrth4wyncs4">fatcat:liducprcgbhlne3xrth4wyncs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808054334/http://www.csd.uwo.ca/faculty/olga/Courses/Fall2008/9840/Chosen/CoTracking.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/d1/a2/d1a262d97c7bd3411f3c0a69756ad0c8bcda37eb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2007.4408954"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

Hyeokhyen Kwon, Gregory D. Abowd, Thomas Plötz
<span title="2021-12-13">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Supervised training of human activity recognition (HAR) systems based on body-worn inertial measurement units (IMUs) is often constrained by the typically rather small amounts of labeled sample data.  ...  Complexity is thereby represented by the number of model parameters that can be trained robustly.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21248337">doi:10.3390/s21248337</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34960431">pmid:34960431</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8707382/">pmcid:PMC8707382</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ex27jvnfxnbq3g7b2wfdqmmy2a">fatcat:ex27jvnfxnbq3g7b2wfdqmmy2a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220429171449/https://mdpi-res.com/d_attachment/sensors/sensors-21-08337/article_deploy/sensors-21-08337-v2.pdf?version=1639467203" 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/5a/8b/5a8b9bc78d98c26336716c7feaa37313a097b096.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21248337"> <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/PMC8707382" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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