DRONE BASED NEAR REAL-TIME HUMAN DETECTION WITH GEOGRAPHIC LOCALIZATION
| Autor: | B. Beusen, N. Lewyckyj, Pieter-Jan Baeck, W. Horsten, Klaas Pauly |
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| Rok vydání: | 2019 |
| Předmět: |
lcsh:Applied optics. Photonics
0106 biological sciences lcsh:T Computer science Real-time computing lcsh:TA1501-1820 Image processing 04 agricultural and veterinary sciences lcsh:Technology 01 natural sciences Drone Photogrammetry lcsh:TA1-2040 040103 agronomy & agriculture Nadir 0401 agriculture forestry and fisheries lcsh:Engineering (General). Civil engineering (General) Geographic coordinate system Search and rescue 010606 plant biology & botany |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W8, Pp 49-53 (2019) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xlii-3-w8-49-2019 |
| Popis: | Detection of humans, e.g. for search and rescue operations has been enabled by the availability of compact, easy to use cameras and drones. On the other hand, aerial photogrammetry techniques for inspection applications allow for precise geographic localization and the generation of an overview orthomosaic and 3D terrain model. The proposed solution is based on nadir drone imagery and combines both deep learning and photogrammetric algorithms to detect people and position them with geographical coordinates on an overview orthomosaic and 3D terrain map. The drone image processing chain is fully automated and near real-time and therefore allows search and rescue teams to operate more efficiently in difficult to reach areas. |
| Databáze: | OpenAIRE |
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