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Received:January 21, 2019 Revised:February 21, 2019
Received:January 21, 2019 Revised:February 21, 2019
中文摘要: 随着牲畜牛逐年增加，单角度特征编码这种身份认证方法在数据容量上已无法满足目前的需求.本文给出一种cascade结构，使用SSD模型对牛脸进行检测，之后使用MobileNet对牛脸姿态角度进行估计.为多角度特征编码打下坚实的特征基础.实验表明，cascade结构在牛脸检测、姿态角度估计任务中均能得到一个较高的准确度.
Abstract:The single-angle feature coding identity authentication method cannot meet the current demand in terms of data capacity because of the increasing number of cattle. A cascade structure is used to detect the cattle's face and then estimate the angle of the cattle's face, which build a solid feature base for multi-angle feature coding. The result of experiments shows that the cascade structure can obtain a higher accuracy in both the face detection and attitude angle estimation tasks.
keywords: cascade cattle face detection gesture angle
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基金项目:四川省重大科技专项（18ZDZX0162）；四川省重点研发项目（2017GZ0159）
引用文本：
苟先太,黄巍,刘琪芬.基于Cascade结构的牛脸姿态估计.计算机系统应用,2019,28(7):240-245
GOU Xian-Tai,HUANG Wei,LIU Qi-Fen.Gesture Estimation of Cattle Face Based on Cascade Structure.COMPUTER SYSTEMS APPLICATIONS,2019,28(7):240-245
苟先太,黄巍,刘琪芬.基于Cascade结构的牛脸姿态估计.计算机系统应用,2019,28(7):240-245
GOU Xian-Tai,HUANG Wei,LIU Qi-Fen.Gesture Estimation of Cattle Face Based on Cascade Structure.COMPUTER SYSTEMS APPLICATIONS,2019,28(7):240-245
