Dataset Open Access

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

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5574233", 
  "language": "eng", 
  "title": "Low-resolution infrared thermal dataset and potential privacy-preserving applications", 
  "issued": {
    "date-parts": [
      [
        2021, 
        10, 
        17
      ]
    ]
  }, 
  "abstract": "<p>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.</p>", 
  "author": [
    {
      "family": "Zhu, Shuai"
    }, 
    {
      "family": "Voigt, Thiemo"
    }, 
    {
      "family": "Perez-Ramirez, Daniel F."
    }, 
    {
      "family": "Eriksson, Joakim"
    }
  ], 
  "id": "5574233", 
  "event-place": "Coimbra, Portugal", 
  "version": "V_1.0", 
  "type": "dataset", 
  "event": "The 8th ACM International Conference on Systems for Energy-Efficient Buildings (BuildSys'21)"
}
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