Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring thanks to their high mobility and ability to cover areas at different altitudes and locations. One of the major challenges is to use aerial images to accurately detect cars and count-them in real-time for tra...
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| Outros Autores: | , , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/15287 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/15287 |