{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T11:07:28Z","timestamp":1771067248364,"version":"3.50.1"},"reference-count":45,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["RTI2018-093941-B-C32"],"award-info":[{"award-number":["RTI2018-093941-B-C32"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["RTI2018-093941-B-C33"],"award-info":[{"award-number":["RTI2018-093941-B-C33"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["RTI2018-093941-B-C32"],"award-info":[{"award-number":["RTI2018-093941-B-C32"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["RTI2018-093941-B-C33"],"award-info":[{"award-number":["RTI2018-093941-B-C33"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Following the path set out by the \u201cArgus\u201d project, video monitoring stations have become a very popular low cost tool to continuously monitor beaches around the world. For these stations to be able to offer quantitative results, the cameras must be calibrated. Cameras are typically calibrated when installed, and, at best, extrinsic calibrations are performed from time to time. However, intra-day variations of camera calibration parameters due to thermal factors, or other kinds of uncontrolled movements, have been shown to introduce significant errors when transforming the pixels to real world coordinates. Departing from well-known feature detection and matching algorithms from computer vision, this paper presents a methodology to automatically calibrate cameras, in the intra-day time scale, from a small number of manually calibrated images. For the three cameras analyzed here, the proposed methodology allows for automatic calibration of &gt;90% of the images in favorable conditions (images with many fixed features) and \u223c40% in the worst conditioned camera (almost featureless images). The results can be improved by increasing the number of manually calibrated images. Further, the procedure provides the user with two values that allow for the assessment of the expected quality of each automatic calibration. The proposed methodology, here applied to Argus-like stations, is applicable e.g., in CoastSnap sites, where each image corresponds to a different camera.<\/jats:p>","DOI":"10.3390\/rs13142795","type":"journal-article","created":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T10:52:58Z","timestamp":1626432778000},"page":"2795","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["UCalib: Cameras Autocalibration on Coastal Video Monitoring Systems"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6420-5975","authenticated-orcid":false,"given":"Gonzalo","family":"Simarro","sequence":"first","affiliation":[{"name":"ICM (CSIC), Passeig Mar\u00edtim de la Barceloneta 37-49, 08003 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5402-5137","authenticated-orcid":false,"given":"Daniel","family":"Calvete","sequence":"additional","affiliation":[{"name":"Departament de F\u00edsica, Universitat Polit\u00e8cnica de Catalunya, Jordi Girona 1-3, 08034 Barcelona, Spain"}]},{"given":"Paola","family":"Souto","sequence":"additional","affiliation":[{"name":"Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 de Ferrara, 44122 Ferrara, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.coastaleng.2007.01.009","article-title":"The role of video imagery in predicting daily to monthly coastal evolution","volume":"54","author":"Smit","year":"2007","journal-title":"Coast. 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