Real-Time Cow Action Recognition based on Motion History Image Feature

被引：0
|
作者：
Ahn, Sung-Jin [1 ]
Ko, Dong-Min [1 ]
Heo, Eui-Ju [1 ]
Choi, Kang-Sun [1 ]
机构：
[1] KOREATECH, Interdisciplinary Program Creat Engn, Cheonan, South Korea
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2018年
关键词：
ESTRUS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a cow behavior recognition algorithm is proposed to detect the optimal time of insemination by using the support vector machine (SVM) classifier with motion history image feature information. In the proposed algorithm, area information indicating the amount of movements is extracted from MHI, instead of motion direction which has been widely used for person action recognition. In the experimental results, it is confirmed that the proposed method detects the cow mounting behavior with the detection rate of 72%.
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页数：2
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