Name
Title | ||
|---|---|---|
Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming. |
Abstract | ||
|---|---|---|
•A method of video key frame extraction for huge motion variation was put forward.•Image enhancement method was used to reduce the influence of illumination and shadows.•Mask R-CNN based cattle instance segmentation and contour line extraction method was developed.•The performance of proposed method is effective and outweigh DeepMask and SharpMask methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compag.2019.104958 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Precision livestock farming,Instance segmentation,Cattle contour,Deep learning,Mask R-CNN | Computer vision,Shadow,Market segmentation,Segmentation,Livestock,Artificial intelligence,Pixel,Key frame,Engineering,Deep learning | Journal |
Volume | ISSN | Citations |
165 | 0168-1699 | 4 |
PageRank | References | Authors |
0.44 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongliang Qiao | 1 | 4 | 0.44 |
| Matthew Truman | 2 | 4 | 0.44 |
| Salah Sukkarieh | 3 | 1142 | 141.84 |