Cow Behavior Recognition Using Motion History Image Feature

被引：5
|
作者：
Ahn, Sung-Jin [1 ]
Ko, Dong-Min [1 ]
Choi, Kang-Sun [1 ]
机构：
[1] Koreatech, Interdisciplinary Program Creat Engn, Cheonan, South Korea
来源：
IMAGE ANALYSIS AND RECOGNITION, ICIAR 2017 | 2017年 / 10317卷
关键词：
SEGMENTATION;
D O I：
10.1007/978-3-319-59876-5_69
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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 (MHI) 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%.
引用
收藏
页码：626 / 633
页数：8
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