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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
Conference Name1st International Conference on Electronics Instrumentation & Information Systems (EIIS)
Source PublicationPROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017)
Pages19-22
Conference Date2017-06-03
Conference PlaceHarbin Inst Technol, Harbin, PEOPLES R CHINA
Publication PlaceNEW YORK
PublisherIEEE
Contribution Rank1
Abstract

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.

KeywordComponent Pattern Recognition Svm Decision Tree Bird Species Recognition
Subject AreaEngineering, Electrical & Electronic
Department动态光学成像研究室
Indexed ByEI ; CPCI
ISBN978-1-5386-0843-2
Language英语
WOS IDWOS:000426992300005
EI Accession Number20182605362750
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30000
Collection动态光学成像研究室
Corresponding AuthorQiao, BW (reprint author), Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian, Shaanxi, Peoples R China.
Affiliation1.Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian, Shaanxi, Peoples R China
2.Xian Inst Opt & Precis Mech CAS, Xian, Shaanxi, Peoples R China
Recommended Citation
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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