| Title: | OS20-3 Automatic Assessing Body Condition Score from Digital Images by Active Shape Model and Multiple Regression Technique |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 311-314 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS20-3 |
| Author(s): | Nay Chi Lynn, Thi Thi Zin, Ikuo Kobayashi |
| Publication Date: | January 19, 2017 |
| Keywords: | Body Condition Score, Active Shape Model, Multiple Regression Analysis, Angle features |
| Abstract: | Body Condition Score (BCS) of a dairy cow is a magnificent indicator for determining energy reserves of cows. The purpose of this study is to assess BCS of dairy cattle by analyzing cows' rear-view images. In order to do so, we first model shape of cow's tailhead area by using active shape model. Then, angle features are modelled as multiple regression model for estimating scores. The experimental results show that proposed system is promising compared to some existing methods. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS20/OS20-3.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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