https://libeldoc.bsuir.by/handle/123456789/45849| Title: | Reindeer Recognition and Counting System Based on Aerial Images and Convolutional Neural Networks |
| Authors: | Mikhailov, V. Sobolevskii, V. |
| Keywords: | материалы конференций;conference proceedings;reindeer;recognition;convolutional neural networks;aerial imagery |
| Issue Date: | 2021 |
| Publisher: | UIIP NASB |
| Citation: | Mazouka, D. Reindeer Recognition and Counting System Based on Aerial Images and Convolutional Neural Networks / Mikhailov V., Sobolevskii V. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 89–91. |
| Abstract: | Described animal recognition and counting system based on convolutional neural networks with MRCNN architecture. Initial training of the network is performed using a basic array of MS COCO images, and additional training is performed using an array of aerial photographs of reindeer herds. A webinterface of the system has been developed. The error of counting reindeer in the image from the verification sample is about 13%. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/45849 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Mikhailov_Reindeer.pdf | 1.02 MB | Adobe PDF | View/Open |
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