| Autor: |
Alexandra Ciocirlan, Luige Vladareanu, Bogdan Capra, Ana-Maria Travediu, Octavian Melinte, Mitica Manoliu, Victor Vladareanu |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
CSCS |
| Popis: |
The paper presents two object detector networks on USC Pedestrian database in order to detect and localize pedestrians in photos. The COCO metrics was used, because it was considered a very important problem, well addressed. All children in pictures were well localized and the models can be used on autonomous robots and cars. Both Faster R-CNN and SSD missed a single person in the testing C dataset. The research results lead to a precision of 0.733 on Faster R-CNN and 0.583 on SSD on COCO metrics. In future works this results will be used in augmenting data for search and rescue missions conducted by first responders. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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