{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T04:41:29Z","timestamp":1791261689162,"version":"4.1.0"},"reference-count":38,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,7,9]],"date-time":"2017-07-09T00:00:00Z","timestamp":1499558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The integration of a surveillance camera video with a three-dimensional (3D) geographic information system (GIS) requires the georeferencing of that video. Since a video consists of separate frames, each frame must be georeferenced. To georeference a video frame, we rely on the information about the camera view at the moment that the frame was captured. A camera view in 3D space is completely determined by the camera position, orientation, and field-of-view. Since the accurate measuring of these parameters can be extremely difficult, in this paper we propose a method for their estimation based on matching video frame coordinates of certain point features with their 3D geographic locations. To obtain these coordinates, we rely on high-resolution orthophotos and digital elevation models (DEM) of the area of interest. Once an adequate number of points are matched, Levenberg\u2013Marquardt iterative optimization is applied to find the most suitable video frame georeference, i.e., position and orientation of the camera.<\/jats:p>","DOI":"10.3390\/ijgi6070211","type":"journal-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T11:05:31Z","timestamp":1499684731000},"page":"211","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["A Method for Estimating Surveillance Video Georeferences"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3057-7727","authenticated-orcid":false,"given":"Aleksandar","family":"Milosavljevi\u0107","sequence":"first","affiliation":[{"name":"Faculty of Electronic Engineering, University of Ni\u0161, Aleksandra Medvedeva 14, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dejan","family":"Ran\u010di\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Electronic Engineering, University of Ni\u0161, Aleksandra Medvedeva 14, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandar","family":"Dimitrijevi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Electronic Engineering, University of Ni\u0161, Aleksandra Medvedeva 14, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bratislav","family":"Predi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Electronic Engineering, University of Ni\u0161, Aleksandra Medvedeva 14, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vladan","family":"Mihajlovi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Electronic Engineering, University of Ni\u0161, Aleksandra Medvedeva 14, 18000 Ni\u0161, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,7,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"23341","DOI":"10.3390\/s150923341","article-title":"CCTV Coverage Index Based on Surveillance Resolution and Its Evaluation Using 3D Spatial Analysis","volume":"15","author":"Choi","year":"2015","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Lee, S.C., and Nevatia, R. 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