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Low-resolution infrared thermal dataset and potential privacy-preserving applications

Zhu, Shuai; Voigt, Thiemo; Perez-Ramirez, Daniel F.; Eriksson, Joakim


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  <identifier identifierType="DOI">10.5281/zenodo.5574233</identifier>
  <creators>
    <creator>
      <creatorName>Zhu, Shuai</creatorName>
      <givenName>Shuai</givenName>
      <familyName>Zhu</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9839-3820</nameIdentifier>
      <affiliation>RISE Research Institutes of Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>Voigt, Thiemo</creatorName>
      <givenName>Thiemo</givenName>
      <familyName>Voigt</familyName>
      <affiliation>RISE Research Institutes of Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>Perez-Ramirez, Daniel F.</creatorName>
      <givenName>Daniel F.</givenName>
      <familyName>Perez-Ramirez</familyName>
      <affiliation>RISE Research Institutes of Sweden</affiliation>
    </creator>
    <creator>
      <creatorName>Eriksson, Joakim</creatorName>
      <givenName>Joakim</givenName>
      <familyName>Eriksson</familyName>
      <affiliation>RISE Research Institutes of Sweden</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Low-resolution infrared thermal dataset and potential privacy-preserving applications</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>low-resolution infrared thermal dataset</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-10-17</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5574233</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5574232</relatedIdentifier>
  </relatedIdentifiers>
  <version>V_1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;A low-resolution infrared thermal dataset of people and thermal objects, such as a working laptop, in indoor environments. The dataset was collected by a far infrared thermal camera (32 by 24 pixels), which can capture the position and shape information of thermal objects without privacy issues that enable trustworthy computer vision applications. The dataset consists of 1770 thermal images with high-quality annotation collected from an indoor room with around 15 degrees.&lt;/p&gt;</description>
  </descriptions>
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