Bird Species Recognition based on SVM Classifier and Decision Tree | |
Qiao, Baowen1,2; Zhou, Zuofeng2; Yang, Hongtao2; Cao, Jianzhong2; Qiao, BW (reprint author), Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian, Shaanxi, Peoples R China. | |
2017 | |
会议名称 | 1st International Conference on Electronics Instrumentation & Information Systems (EIIS) |
会议录名称 | PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017) |
页码 | 19-22 |
会议日期 | 2017-06-03 |
会议地点 | Harbin Inst Technol, Harbin, PEOPLES R CHINA |
出版地 | NEW YORK |
出版者 | IEEE |
产权排序 | 1 |
摘要 | Bird species recognition is a challenging problem due to the variant illumination and different view point of camera. In this paper, a new feature which is the ratio between the distance of the eye to the root of beak and the distance of the width of the beak is used to distinguish the different bird species. Integrated the new feature into the multi-scale decision tree and the SVM framework, a new bird species recognition algorithm is proposed to get the final recognition result. The Experiment results show that the proposed new feature can improve the correct classification rate about nine percent. |
关键词 | Component Pattern Recognition Svm Decision Tree Bird Species Recognition |
学科领域 | Engineering, Electrical & Electronic |
作者部门 | 动态光学成像研究室 |
收录类别 | EI ; CPCI |
ISBN号 | 978-1-5386-0843-2 |
语种 | 英语 |
WOS记录号 | WOS:000426992300005 |
EI入藏号 | 20182605362750 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30000 |
专题 | 飞行器光学成像与测量技术研究室 |
通讯作者 | Qiao, BW (reprint author), Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian, Shaanxi, Peoples R China. |
作者单位 | 1.Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian, Shaanxi, Peoples R China 2.Xian Inst Opt & Precis Mech CAS, Xian, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Qiao, Baowen,Zhou, Zuofeng,Yang, Hongtao,et al. Bird Species Recognition based on SVM Classifier and Decision Tree[C]. NEW YORK:IEEE,2017:19-22. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Bird Species Recogni(381KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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