Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing
Abstract
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the state-of-the-art in relevant subfields, and provide a working example of how computer vision can be applied in empirical sociological work. Our application involves defining a ground truth by human coders, developing an algorithm for automated coding, testing the performance of the algorithm against the ground truth, and running the algorithm on a large-scale dataset of CCTV images. The working example concerns monitoring social distancing behavior in public space over more than a year of the COVID-19 pandemic. Finally, we discuss prospects for the use of computer vision in empirical social science research and address technical and ethical challenges.
Ingestion failed: Traceback (most recent call last): File "/srv/app/app/worker.py", line 85, in run_once process_job(db, job) File "/srv/app/app/worker.py", line 39, in process_job pdf_path, info = fetch_pdf_temp(candidate["url"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/srv/app/app/downloader.py", line 129, in fetch_pdf_temp raise ValueError(f"PDF source returned HTTP {response.status_code}.") ValueError: PDF source returned HTTP 403.
No local PDF is available.
GROBID Extracted text; discontinued.
This text is generated from TEI extraction for accessibility, search, and TTS. Formulas, tables, figures, page layout, and references may not perfectly match the original PDF.
No accessible text representation is available. The text extraction service has been discontinued for the time being. If you require this service, for accessibility or any other reason, please submit an issue/request on this page.
Metadata
Issues
No public issues have been filed for this DOI.
Submit an issue
Record history
| When | Event | Field | Old | New |
|---|---|---|---|---|
| 2026-06-18 19:37:53.011249+00:00 | identifier_assigned | DSEID | DSEID-001-3242355 |