| 講演抄録/キーワード |
| 講演名 |
2018-12-25 14:40
Detection of Predator Animals Features using Machine Learning ○Fahad Alharbi・Eiji Kamioka(SIT) MoNA2018-49 |
| 抄録 |
(和) |
In this paper, predator animals feature detection is discussed. Animals recognition is one of the areas in which a limited amount of research has been undertaken, especially in the predator animals domain. Predator animals present a great danger to people who are camping or staying in outdoor areas and they are also a threat to livestock. In this paper, a multiple feature detection of predator animals is proposed and evaluated on five animals using multiple classifiers like SVM, KNN, MLP. The results show that the proposed method achieves the detection accuracy of 94% which justifies its effectiveness for this research proposal. |
| (英) |
In this paper, predator animals feature detection is discussed. Animals recognition is one of the areas in which a limited amount of research has been undertaken, especially in the predator animals domain. Predator animals present a great danger to people who are camping or staying in outdoor areas and they are also a threat to livestock. In this paper, a multiple feature detection of predator animals is proposed and evaluated on five animals using multiple classifiers like SVM, KNN, MLP. The results show that the proposed method achieves the detection accuracy of 94% which justifies its effectiveness for this research proposal. |
| キーワード |
(和) |
Animal detection / Image processing / Feature extraction / Machine learning / / / / |
| (英) |
Animal detection / Image processing / Feature extraction / Machine learning / / / / |
| 文献情報 |
信学技報, vol. 118, no. 378, MoNA2018-49, pp. 61-66, 2018年12月. |
| 資料番号 |
MoNA2018-49 |
| 発行日 |
2018-12-18 (MoNA) |
| ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
MoNA2018-49 |