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MoVi: A Large Multipurpose Motion and Video Dataset
[article]
2020
arXiv
pre-print
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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 (https://amass.is.tue.mpg.de/), and all others authors of AMASS for ...
arXiv:2003.01888v1
fatcat:r62vdwp75neejngmf6vynpb65e
Adabev: Automatic Detection Of Abnormal Behavior In Video-Surveillance
2012
Zenodo
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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
2021
Data
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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
2012
PLoS ONE
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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]
2021
arXiv
pre-print
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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
i3D
1995
Proceedings of the first symposium on Virtual reality modeling language - VRML '95
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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
2021
Scientific Reports
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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
2008
International Journal of Digital Earth
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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]
2020
arXiv
pre-print
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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
2018
NeuroImage
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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
2017
IEEE Transactions on Biomedical Engineering
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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
2016
Journal of Visualized Experiments
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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
2015
2015 IEEE International Conference on Image Processing (ICIP)
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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
2019
Journal of Clinical Medicine
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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
2018
NeuroImage
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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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