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MoVi: A Large Multipurpose Motion and Video Dataset [article]

Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad Kording, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje
2020 arXiv   pre-print
For many applications, it is crucial to identify movements from videos or analyze datasets of movements. Here we introduce a new human Motion and Video dataset MoVi, which we make available publicly.  ...  In total, our dataset contains 9 hours of motion capture data, 17 hours of video data from 4 different points of view (including one hand-held camera), and 6.6 hours of IMU data.  ...  Acknowledgments We wish to thank Nima Ghorbani for post-processing our motion capture data so it could be added to the AMASS dataset (, and all others authors of AMASS for  ... 
arXiv:2003.01888v1 fatcat:r62vdwp75neejngmf6vynpb65e

Adabev: Automatic Detection Of Abnormal Behavior In Video-Surveillance

Nour Charara, Iman Jarkass, Maria Sokhn, Elena Mugellini, Omar Abou Khaled
2012 Zenodo  
The analysis and recognition of abnormal behaviours in a video sequence has gradually drawn the attention in the field of IVS, since it allows filtering out a large number of useless information, which  ...  guarantees the high efficiency in the security protection, and save a lot of human and material resources.  ...  A multipurpose hall offers many possible usages and it is designed to fit various kinds of events, such as a movie theatre (cinema), conference hall, or even as a room for parties' and ceremonies.  ... 
doi:10.5281/zenodo.1057171 fatcat:aa2ukdfzujawdpn73rrqwdljpm

A Systematic Survey of ML Datasets for Prime CV Research Areas—Media and Metadata

Helder F. Castro, Jaime S. Cardoso, Maria T. Andrade
2021 Data  
We provide an extensive survey of the evolution and current state of MLCV datasets (1994 to 2019) for a set of specific CV areas as well as a quantitative and qualitative analysis of the results.  ...  ML tools require large amounts of information to learn from (ML datasets). These are costly to produce but have received reduced attention regarding standardization.  ...  We also look at some more multipurpose datasets (mixing video and audio interpretation) in Section 3.6.  ... 
doi:10.3390/data6020012 fatcat:jov2btfknnet3bwpyn6txnrhda

Automated Tracking of Animal Posture and Movement during Exploration and Sensory Orientation Behaviors

Alex Gomez-Marin, Nicolas Partoune, Greg J. Stephens, Matthieu Louis, Holger G. Krapp
2012 PLoS ONE  
SOS is a simple and versatile system to track body posture and motion of single animals in twodimensional environments.  ...  In the presence of a sensory landscape, tracking the trajectory of the animal's sensors and its postural evolution provides a quantitative framework to study sensorimotor integration.  ...  We thank Alfonso Perez-Escudero, Robert Hinz and Gonzalo de Polavieja for generously sharing zebrafish movies. We thank Ignasi Sahun and Mara Dierssen for mouse movies.  ... 
doi:10.1371/journal.pone.0041642 pmid:22912674 pmcid:PMC3415430 fatcat:7sh6ukfuurendfqifenhxwyvfq

HuMoR: 3D Human Motion Model for Robust Pose Estimation [article]

Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas
2021 arXiv   pre-print
Through extensive evaluations, we demonstrate that our model generalizes to diverse motions and body shapes after training on a large motion capture dataset, and enables motion reconstruction from multiple  ...  input modalities including 3D keypoints and RGB(-D) videos.  ...  This work was supported by the Toyota Research Institute ("TRI") under the University 2.0 program, grants from the Samsung GRO program and the Ford-Stanford Alliance, a Vannevar Bush faculty fellowship  ... 
arXiv:2105.04668v2 fatcat:h5sdd4xperb2fjmqjp65xsgxuq


Jean-Francis Balaguer, Enrico Gobbetti
1995 Proceedings of the first symposium on Virtual reality modeling language - VRML '95  
The system is currently being used at CERN as a visualization and data management tool for the design of the new Large Hadron Collider, and at CRS4 for the Virtual Sardinia project and in the networked  ...  Time-critical rendering techniques allow the system to display complex 3D scenes at high and constant frame rates, making it possible to use it in the context of large scale projects.  ...  In order to guarantee low response times when handling large datasets, the system must be able to adaptively trade rendering and computation quality with speed [6] ; • distribution and sharing: with the  ... 
doi:10.1145/217306.217316 dblp:conf/vrml/BalaguerG95 fatcat:kow55apxlnf4npor4yvl5tofpa

A digital nervous system aiming toward personalized IoT healthcare

Astrid Armgarth, Sandra Pantzare, Patrik Arven, Roman Lassnig, Hiroaki Jinno, Erik O. Gabrielsson, Yonatan Kifle, Dennis Cherian, Theresia Arbring Sjöström, Gautier Berthou, Jim Dowling, Takao Someya (+4 others)
2021 Scientific Reports  
Data, recorded from strain sensors detecting body motion, are both securely transferred to the cloud for machine learning and improved decision-making, and sent through the body using a secure body-coupled  ...  By applying distributed sensors and drug delivery devices on/in our body and connecting to such communication and decision-making technology, a system for remote diagnostics and therapy is achieved with  ...  visualization input and movie editing, and Dr Jae Joon Kim for significant assistance in reviewing the manuscript.  ... 
doi:10.1038/s41598-021-87177-z pmid:33833303 fatcat:47npwkstpnbnljo6jjggcwom74

Reality-based generation of virtual environments for digital earth

A. Gruen
2008 International Journal of Digital Earth  
Images contain a wealth of information that can be advantageously used for model generation. Images are increasingly available from satellite, aerial and terrestrial platforms.  ...  Digital Earth essentially consists of 3D and moreD models and attached semantic information (attributes). Techniques for generating such models efficiently are required very urgently.  ...  for large and very large datasets.  ... 
doi:10.1080/17538940701782585 fatcat:3jevnoc7mzhlrn7hm7db7eq3ay

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments [article]

Ye Yuan, Wenhan Yang, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang
2020 arXiv   pre-print
We expect a large participation from the broad research community to address these challenges together.  ...  To provide a more thorough examination and fair comparison, we introduce three benchmark sets collected in real-world hazy, rainy, and low-light conditions, respectively, with annotate objects/faces annotated  ...  The following datasets are collected by aerial vehicles, including VIRAT Video Dataset [68] for event recognition, UAV123 [69] for UAV tracking, and a multipurpose dataset [70] .  ... 
arXiv:1904.04474v4 fatcat:j4gz3l776bezpb73iaclny4n74

Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects

Michael P. Harms, Leah H. Somerville, Beau M. Ances, Jesper Andersson, Deanna M. Barch, Matteo Bastiani, Susan Y. Bookheimer, Timothy B. Brown, Randy L. Buckner, Gregory C. Burgess, Timothy S. Coalson, Michael A. Chappell (+29 others)
2018 NeuroImage  
The result will be a large, rich, multi-modal, and freely available set of consistently acquired data for use by the scientific community to investigate and define normative developmental and aging related  ...  The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full  ...  We thank the HCP-D/A Project Coordinator, Sandra Curtiss, and the staff at each site for all their effort to launch the projects and keep them running smoothly on a daily basis.  ... 
doi:10.1016/j.neuroimage.2018.09.060 pmid:30261308 pmcid:PMC6484842 fatcat:bf3sbvie4jbelp5dnmpeehg47m

FIM$^{2c\;}$: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior

Benjamin Risse, Nils Otto, Dimitri Berh, Xiaoyi Jiang, Matthias Kiel, Christian Klambt
2017 IEEE Transactions on Biomedical Engineering  
This multi-purpose method enables a large variety of different experimental approaches.  ...  Recording these translucent animals with high contrast in a large arena is however not trivial. Furthermore fluorescent proteins are widely used to mark cells in vivo and report their functions.  ...  Krüger and J. Kappel for help with data acquisition. This work was supported by a CIM-IMPRS PhD fellowship to N.O. and through grants of the Deutsche Forschungsgemeinschaft to C.K.  ... 
doi:10.1109/tbme.2016.2570598 pmid:28113210 fatcat:vfh5sxddi5cazllzdkczbh2ege

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Jaroslav Icha, Christopher Schmied, Jaydeep Sidhaye, Pavel Tomancak, Stephan Preibisch, Caren Norden
2016 Journal of Visualized Experiments  
Importantly, we also explain a pipeline for subsequent registration and fusion of multiview datasets using an open source solution implemented as a Fiji plugin.  ...  However, in the last three years several commercial implementations of LSFM became available, which are multipurpose and easy to use for any developmental biologist.  ...  We thank Julia Eichhorn for assembling the Movie 1. The Norden lab members and Svea Grieb provided many helpful comments on the manuscript. Jaroslav Icha, Christopher Schmied  ... 
doi:10.3791/53966 pmid:27167079 pmcid:PMC4941907 fatcat:u3hcvxjto5gmbdzczov7m7w5oe

Image splicing detection with local illumination estimation

Yu Fan, Philippe Carre, Christine Fernandez-Maloigne
2015 2015 IEEE International Conference on Image Processing (ICIP)  
Photos, Google Play Movies and Drive . We work with all the video imaging teams at Google including Research, Android, Chrome Media, Hangouts and VR .  ...  Recent product launches including 360Video (omnidirectional) processing, multiangle video playback, slo-motion effects, advanced video compression and automated video denoising, have all leveraged our  ...  a human action recognition system that runs in realtime and uses a combination of a depth camera and an inertial sensor simultaneously .  ... 
doi:10.1109/icip.2015.7351341 dblp:conf/icip/FanCF15 fatcat:7ja5gjnp5rafvedc2nman7xcru

Monitoring and Determining Mitochondrial Network Parameters in Live Lung Cancer Cells

Tamara Mirzapoiazova, Haiqing Li, Anusha Nathan, Saumya Srivstava, Mohd W. Nasser, Frances Lennon, Brian Armstrong, Isa Mambetsariev, Peiguo G. Chu, Srisairam Achuthan, Surinder K. Batra, Prakash Kulkarni (+1 others)
2019 Journal of Clinical Medicine  
The 2D confocal images provide a robust approach to quantitatively measure mitochondrial dynamics and morphology in live cells.  ...  Here, we present a 2D confocal imaging-based approach that combines automatic mitochondrial morphology and dynamics analysis with fractal analysis in live small cell lung cancer (SCLC) cells.  ...  Mono-fractal datasets require only a single scaling exponent or a linear combination of the exponents to be characterized whereas multifractal datasets require nonlinear functions of the datasets to be  ... 
doi:10.3390/jcm8101723 pmid:31635288 pmcid:PMC6832496 fatcat:aqdhjguqqbcj5hrtnvqxz7ifhe

The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds

Leah H. Somerville, Susan Y. Bookheimer, Randy L. Buckner, Gregory C. Burgess, Sandra W. Curtiss, Mirella Dapretto, Jennifer Stine Elam, Michael S. Gaffrey, Michael P. Harms, Cynthia Hodge, Sridhar Kandala, Erik K. Kastman (+7 others)
2018 NeuroImage  
uses and limitations of the dataset.  ...  Brain imaging sessions are acquired on a 3 T Siemens Prisma platform and include structural, functional (resting state and task-based), diffusion, and perfusion imaging, physiological monitoring, and a  ...  Acknowledgements Research reported in this publication was supported by grants U01MH109589 and U01MH109589-S1 and by the 14 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research  ... 
doi:10.1016/j.neuroimage.2018.08.050 pmid:30142446 pmcid:PMC6416053 fatcat:fllwrvpmgvb7bdxgcrxqqwjaxi
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