A Method for Estimating Surveillance Video Georeferences
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-07-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/6/7/211 |
| _version_ | 1818113416279097344 |
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| author | Aleksandar Milosavljević Dejan Rančić Aleksandar Dimitrijević Bratislav Predić Vladan Mihajlović |
| author_facet | Aleksandar Milosavljević Dejan Rančić Aleksandar Dimitrijević Bratislav Predić Vladan Mihajlović |
| author_sort | Aleksandar Milosavljević |
| collection | DOAJ |
| description | 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–Marquardt iterative optimization is applied to find the most suitable video frame georeference, i.e., position and orientation of the camera. |
| first_indexed | 2024-12-11T03:34:29Z |
| format | Article |
| id | doaj.art-393017a2d12e4a7592bd7e61cc0b3638 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-11T03:34:29Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-393017a2d12e4a7592bd7e61cc0b36382022-12-22T01:22:18ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-07-016721110.3390/ijgi6070211ijgi6070211A Method for Estimating Surveillance Video GeoreferencesAleksandar Milosavljević0Dejan Rančić1Aleksandar Dimitrijević2Bratislav Predić3Vladan Mihajlović4Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, SerbiaThe 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–Marquardt iterative optimization is applied to find the most suitable video frame georeference, i.e., position and orientation of the camera.https://www.mdpi.com/2220-9964/6/7/211video surveillancecamera calibrationgeoregistrationgeoreferencing |
| spellingShingle | Aleksandar Milosavljević Dejan Rančić Aleksandar Dimitrijević Bratislav Predić Vladan Mihajlović A Method for Estimating Surveillance Video Georeferences ISPRS International Journal of Geo-Information video surveillance camera calibration georegistration georeferencing |
| title | A Method for Estimating Surveillance Video Georeferences |
| title_full | A Method for Estimating Surveillance Video Georeferences |
| title_fullStr | A Method for Estimating Surveillance Video Georeferences |
| title_full_unstemmed | A Method for Estimating Surveillance Video Georeferences |
| title_short | A Method for Estimating Surveillance Video Georeferences |
| title_sort | method for estimating surveillance video georeferences |
| topic | video surveillance camera calibration georegistration georeferencing |
| url | https://www.mdpi.com/2220-9964/6/7/211 |
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