Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor [Sample Dataset] Article Swipe
Fabricio Flores
,
Sirajum Munir
,
Matías Quintana
,
Anand Krishnan Prakash
,
Mario Bergés
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3457384
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3457384
[Sample Dataset File.] Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a viable solution to estimate occupancy accurately in a non-privacy invasive manner. Even though there are publicly available depth datasets, they do not consider placing the sensor in the ceiling looking downwards to estimate occupancy. We deployed four Kinect for XBOX One in four CMU classrooms and conference rooms for a period of four weeks in 2017 and collected over 6 TB of depth data. We annotate this huge dataset by labelling bounding boxes around occupants and release the annotated dataset.
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https://doi.org/10.5281/zenodo.3457384Digital Object Identifier
- Title
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Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor [Sample Dataset]Work title
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datasetOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-09-18Full publication date if available
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Fabricio Flores, Sirajum Munir, Matías Quintana, Anand Krishnan Prakash, Mario BergésList of authors in order
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https://doi.org/10.5281/zenodo.3457384Publisher landing page
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.3457384Direct OA link when available
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Occupancy, Sample (material), Tracking (education), Estimation, Computer science, Statistics, Mathematics, Engineering, Chemistry, Chromatography, Psychology, Pedagogy, Architectural engineering, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.detection, | 4 |
| abstract_inverted_index.estimation | 7 |
| abstract_inverted_index.occupancy. | 67 |
| abstract_inverted_index.occupants. | 24 |
| abstract_inverted_index.efficiency, | 18 |
| abstract_inverted_index.non-privacy | 42 |
| abstract_inverted_index.applications | 13 |
| cited_by_percentile_year | |
| countries_distinct_count | 3 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |