ICFICE 2018
Current Result Document :
| 한글제목(Korean Title) |
Migratory Bird Detection Based on Haar-like Feature |
| 영문제목(English Title) |
Migratory Bird Detection Based on Haar-like Feature |
| 저자(Author) |
Mutsuhiro Terauchi
Sung-Hoon Choi
Hyuk Park
Hee-Cheol Kim
Bok-Suk Shin
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| 원문수록처(Citation) |
VOL 10 NO. 01 PP. 0231 ~ 0234 (2018. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Since migrating birds can spread the Avian Influenza (AI), AI expansion can be reduced or blocked by establishing a comprehensive surveillance system on the bird migration pattern by observing and tracking their migration paths and habitats. It is necessary to develop technological approach to observe and track the migrating birds. We propose a method for detecting migratory birds toward observation by using Haarlike features and a feature map. The process of using Haar-like feature can classify groups between adjacent dark and bright from a river scene with floating migratory birds. This paper focuses on success rate of detection of migratory bird or group of migratory birds by combining optimization algorithm with a geometrical feature map. We also present the experimental results on bird detection, by comparing previously achieved results.
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| 키워드(Keyword) |
Object recognition
Classification
Haar-like Feature
Environmental
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| 파일첨부 |
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