Name
Abstract | ||
|---|---|---|
This paper aims at the monitoring of birds and their ecological environment in the island and coastal wetland ecosystems. A new approach of island bird detection is proposed based on the Faster R-CNN (Regions with Convolutional Neural Networks) model under multiple backgrounds. It includes feature extraction, region proposal, bounding box regression, classification into the whole neural network structure. This key technology can automatically achieve automatic bird species identification and quantitative statistics in the faster computation speed. The details of constructing Faster R-CNN are described. In the end, many actual images are utilized to demonstrate the effectiveness of the proposed models. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1080/01969722.2020.1827799 | CYBERNETICS AND SYSTEMS |
Keywords | DocType | Volume |
Convolutional feature extraction, Faster R-CNN, island birds, object detection, region proposal | Journal | 52 |
Issue | ISSN | Citations |
1 | 0196-9722 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianchao Fan | 1 | 186 | 15.72 |
| Xiaoxin Liu | 2 | 24 | 2.53 |
| Xinzhe Wang | 3 | 0 | 1.01 |
| Deyi Wang | 4 | 0 | 0.68 |
| Min Han | 5 | 761 | 68.01 |