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We categorise the approaches into three main groups: methods utilising respiration-induced body movements, methods extracting respiratory information from blood volume pulse signals obtained via remote photoplethysmography, and deep learning-based techniques for direct respiratory signal extraction. To evaluate these approaches, we perform a comparative assessment using publicly available datasets. As a result, we uncover emerging trends while identifying strengths and weaknesses in the field. Our contributions include a detailed review of the literature, a benchmark of representative methods on multiple datasets, and the introduction of a new Python package called\n                    <jats:sc>resPyre<\/jats:sc>\n                    that implements the benchmarked approaches, making them accessible to the research community. This survey aims at promoting reproducibility, facilitate further research, and guide the development of more accurate and practical methods for remote respiration measurement using RGB cameras.\n                  <\/jats:p>","DOI":"10.1145\/3771763","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T11:49:02Z","timestamp":1760442542000},"page":"1-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Remote Respiration Measurement with RGB Cameras: A Review and Benchmark"],"prefix":"10.1145","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5572-0924","authenticated-orcid":false,"given":"Giuseppe","family":"Boccignone","sequence":"first","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8479-9950","authenticated-orcid":false,"given":"Vittorio","family":"Cuculo","sequence":"additional","affiliation":[{"name":"University of Modena and Reggio Emilia","place":["Modena, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8210-4457","authenticated-orcid":false,"given":"Alessandro","family":"D'amelio","sequence":"additional","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9274-4047","authenticated-orcid":false,"given":"Giuliano","family":"Grossi","sequence":"additional","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8534-4413","authenticated-orcid":false,"given":"Raffaella","family":"Lanzarotti","sequence":"additional","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7279-723X","authenticated-orcid":false,"given":"Sabrina","family":"Patania","sequence":"additional","affiliation":[{"name":"Universit\u00e0 degli Studi di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,19]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"crossref","unstructured":"Yusuke Akamatsu Terumi Umematsu and Hitoshi Imaoka. 2023. 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