Presentation 2018-12-25
Detection of Predator Animals Features using Machine Learning
Fahad Alharbi, Eiji Kamioka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) 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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Animal detection / Image processing / Feature extraction / Machine learning
Paper # MoNA2018-49
Date of Issue 2018-12-18 (MoNA)

Conference Information
Committee MoNA
Conference Date 2018/12/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Ryoichi Shinkuma(Kyoto Univ.)
Vice Chair Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
Secretary Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC)
Assistant Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.)

Paper Information
Registration To Technical Committee on Mobile Network and Applications
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Predator Animals Features using Machine Learning
Sub Title (in English)
Keyword(1) Animal detection
Keyword(2) Image processing
Keyword(3) Feature extraction
Keyword(4) Machine learning
1st Author's Name Fahad Alharbi
1st Author's Affiliation Shibaura Institute of Technology(SIT)
2nd Author's Name Eiji Kamioka
2nd Author's Affiliation Shibaura Institute of Technology(SIT)
Date 2018-12-25
Paper # MoNA2018-49
Volume (vol) vol.118
Number (no) MoNA-378
Page pp.pp.61-66(MoNA),
#Pages 6
Date of Issue 2018-12-18 (MoNA)