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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
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
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.
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