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12 results for “thermal video”

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zenodo44/100

Infrared Video of Bone Drilling - Supplementary material for article "Thermal Evaluation of Bone Drilling: Assessing Drill Bits and Sequential Drilling"

<p>Video 1 shows sequential bone drilling with 5 drill bits (⌀2.0 mm, ⌀2.5 mm, ⌀3.2 mm, ⌀3.7 mm, and ⌀4.1 mm) used in series following the manufacturer's recommended spindle speeds.</p> <p>Video 2 shows bone drilling with a single drill bit (⌀2.0 mm) with a spindle speed of 1500 rpm.</p> <p>These videos are supplementary to the article, "Thermal Evaluation of Bone Drilling: Assessing Drill Bits and&nbsp;Sequential Drilling" published in the journal&nbsp;<em>Bioengineering.&nbsp;</em></p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Turbulence on natural peatland surface visualized using thermal videos

<p>Videos of surface temperature excursion (T&#39;) from the mean on peatland surface which visualize the passage of atmospheric turbulence and its constituent eddies of varying size. These T&#39; videos were produced from UAV nadir thermal videos recorded from a 500m altitude (Matrice 210 V2 quadcopter + Zenmuse XT2 thermal camera). The original thermal videos were recorded around midday on two dates, 6th and 28th August 2019.</p>

opencc-by-4.0Sep 2020View details →
zenodo40/100

Dataset of UAV thermal video sequences with annotations for MOTS benchmarking

<p>Instance segmentation dataset created for the research &#39;Monitoring Mammalian Herbivores via Convolutional Neural Networks implemented on Thermal UAV imagery&#39;.&nbsp;It&nbsp;comprises&nbsp;959 frames, 20.647 masks, and 239 tracks, and consists of 7 video sequences depicting aerial thermal imagery of cattle collected with a UAV (Parrot ANAFI Thermal) in two outdoor farms in the Netherlands. Data were acquired at three temperatures (10&ordm;C, 19&ordm;C, and 26.5&ordm;C), under sunny and overcast weather conditions, at various angles of inclination (including nadir), and at heights ranging between 8-28 meters. Ground truth was labeled manually with the Computer Vision Annotation Tool <em>CVAT</em>.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Thermal based Mean-Shift Tracking performance (including 6 video sequence)

<p>I have researched novel tracking algorithm (TIR-MS : Thermal infrared based Mean-Shift) in the single pedestrian head tracking environment.&nbsp;</p> <p>We evaluated the tracking performance of the proposed method and attached a video with the results of the tracking. We used to summarized as tracking performance based Average Histogram Similarity and Central Difference, respectively.</p>

opencc-by-4.0May 2019View details →
zenodo36/100

Minimum number of experimental data for the thermal characterization of a hot water storage tank. Videos of temperature evolution

<p>Videos that show the evolution of the instantaneous temperature profile measured and determined with the models and in the cases developed in the paper &quot;Minimum number of experimental data for the thermal characterization of a hot water storage tank&quot;&nbsp; by the same authors. Thermocline thickness evolution is also shown.</p> <p>Video 1. Evolution of the instantaneous temperature profile estimated with the 5 MEL models during the charging period. Evolution of thermocline thickness during the same period is displayed in a separate frame also for all MEL models.<br> Video 2. Evolution of the instantaneous temperature profile estimated with the 5 MDH models during the charging period. Evolution of thermocline thickness during the same period is displayed in a separate frame also for all MDH models.</p>

opencc-by-4.0Jul 2021View details →
dryad36/100

Data for: Non-invasive measurements of respiration and heart rate across wildlife species using Eulerian Video Magnification of infrared thermal imagery

<p><strong>Background</strong>: An animal's metabolic rate, or energetic expenditure, both impacts and is impacted by interactions with its environment. However, techniques for obtaining measurements of metabolic rate are invasive, logistically difficult, and costly. Red-green-blue (RGB) imaging tools have been used in humans and select domestic mammals to accurately measure heart and respiration rate, as proxies of metabolic rate. The purpose of this study was to investigate if infrared thermography (IRT) coupled with Eulerian video magnification (EVM) would extend the applicability of imaging tools towards measuring vital rates in exotic wildlife species with different physical attributes.</p> <p><strong>Results</strong>: We collected IRT and RGB video of 52 total species (39 mammalian, 7 avian, 6 reptilian) from 36 taxonomic families at zoological institutions and used EVM to amplify subtle changes in temperature associated with blood flow for respiration and heart rate measurements. IRT-derived respiration and heart rates were compared to 'true' measurements determined simultaneously by expansion of the ribcage/nostrils and stethoscope readings, respectively. Sufficient temporal signals were extracted for measures of respiration rate in 36 species (85% success in mammals; 50% success in birds; 100% success in reptiles) and heart rate in 24 species (67% success in mammals; 33% success in birds; 0% success in reptiles) using IRT-EVM. Infrared-derived measurements were obtained with high accuracy (respiration rate, mean absolute error: 1.9 breaths per minute, average percent error: 4.4%; heart rate, mean absolute error: 2.6 beats per minute, average percent error: 1.3%). Thick integument and animal movement most significantly hindered successful validation.</p> <p><strong>Conclusion</strong>: The combination of IRT with EVM analysis provides a non-invasive method to assess individual animal health in zoos, with great potential to monitor wildlife metabolic indices in situ.</p>

opencc-zeroFeb 2023View details →
dryad36/100

Data for: Non-invasive measurements of respiration and heart rate across wildlife species using Eulerian Video Magnification of infrared thermal imagery

Open the record for dataset details and reuse information.

publicFeb 2023View details →
zenodo32/100

Georeferenced drone thermal video and related data, recorded on 6 and 28 August 2019 in Siikaneva peatland

<p>Data files in Matlab .mat format.</p> <p>1) EC_and_timeaxes.mat: Eddy Covariance data covering the drone measurement periods, time axes for drone 1Hz sequences and&nbsp; EC data;</p> <p>2) T_fluctuation_corr.mat: Four georeferenced sequences of surface temperature fluctuation T&#39;(x,y,z) derived from the four measured thermal videos;</p> <p>3) T_georef_orig.mat: Four georeferenced sequences of surface temperature T(x,y,z) corresponding to the four measured thermal videos;</p> <p>4) UTMgrid_anemometer_RGBpic.mat: UTM grid for the T&#39;(x,y,z) and T(x,y,z) sequences, pixel coordinates of anemometer location, georeferenced UAV RGB image (with the same UTM grid as the thermal images).</p>

opencc-by-4.0Sep 2020View details →
zenodo32/100

Thermal Video Dataset of Hand Gestures

<p>Our dataset is captured with the FLIR Lepton 2.5 thermal camera, which comes with a radiometric shutter and a focal length of 80X60 pixels. The camera's spectral range is 8 &micro;m to 14 &micro;m, and it has a 63.5 degrees of diagonal field of view and a 50 degrees of nominal horizontal field of view. The camera uses a progressive scan array format of 80X60 pixels.</p> <p>The dataset contains 990 sequences of thermal videos each made up of 15/10/5 frames. It's built up of 9 hand gestures, each with 10 classes within. We had eleven individuals do the gestures to ensure a variety of hand sizes, shapes, and temperatures.&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Thermal video of experiment to determine how fast different brands of towel dry under realistic conditions

<p>These four video files contain the raw measurements of the experiment described in this publication:</p> <p><a href="https://zenodo.org/badge/latestdoi/668661321">Measuring how fast towels dry using an infra-red camera</a></p> <p>In these experiments, I measured the surface temperature of wet and dry towels using a thermal camera to determine which brand of towels dries fastest. This was done on the request of the TV program &quot;Kassa&quot;. The analyses of the data and the results can be found on the link above.&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo24/100

Supporting video for "Temperature Modulated Micromechanical Thermal Analysis with Microstring Resonators Detects Multiple Coherent Features of Small Molecule Glass Transition"

<p>Supporting video for &quot;Temperature Modulated Micromechanical Thermal Analysis with Microstring Resonators Detects Multiple Coherent Features of Small Molecule Glass &nbsp;Transition&quot; . 720p Version.&nbsp;</p>

opencc-by-4.0Jan 2020View details →
zenodo8/100

Dataset of thermal facial videos of people breathing while wearing masks in different methods

<p><strong>Dataset of thermal facial videos of people breathing while wearing masks in different methods</strong></p><p>- Thermal video of the face for 4 seconds of a single breath while wearing a mask.</p><p>- Five repetitions of video with the same conditions.</p><p>- 5 different mask types used. (Labeled in the filename with a number as shown below.)</p><ol><li>Surgical Mask: Mask for surgical use</li><li>KF-AD (Anti-Droplet): Mask for blocking droplets (approximately 5 μm in size)</li><li>KF80: Blocks at least 80% of particles with an average size of 0.6 μm (similar rating to European FFP1)</li><li>KF94: Blocks at least 94% of particles with an average size of 0.4 μm (similar to European FFP2 and U.S. N95)</li><li>KF99: Blocks at least 99% of particles with an average size of 0.4 μm</li></ol><p>- 4 different methods of wearing a mask used. (Labeled in the filename with a number as shown below.)</p><ol><li>Wearing a mask on the chin to expose the nose and mouth</li><li>Lowering the mask under the nose and covering only the mouth</li><li>Covering the nose without the nose wire being tightly attached, thereby letting air leak from the side of the mask</li><li>Wearing the mask properly and securely</li></ol><p>- File name: 'Participant number_Mask type number_Mask wearing method number_Repetition count'</p><p>- The videos are in mp4 format with 1440×1080 pixels and frame rate of 8.7 Hz.</p><p>- Organized into folders: train (3200 videos), test (1000 videos), validation (800 videos).</p>

restrictedNov 2023View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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