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Joint Rotation Invariant Feature for Vehicle Detection in Aerial Images
Li, Dawei; Li, Mingtao; Zheng, Jianhua; Wang, Yuanchao; Li, DW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, 1 Nanertiao, Beijing 100190, Peoples R China.; Li, DW (reprint author), Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China.
作者部门空间技术部
会议录名称NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017)
2017
语种英语
ISSN号0277-786X
ISBN号978-1-5106-1305-8; 978-1-5106-1304-1
摘要This paper introduces a joint feature of Fourier histograms of oriented gradients (FHOG) and local binary pattern (LBP) for vehicle detection in aerial images. Both of them are rotation invariant, so any rotation angle of vehicle in aerial images can be easily detected. A linear support vector machine (SVM) classifier is then trained over the joint feature vectors for the final vehicle detection. We evaluate our method on a public dataset and compare with some state-of-the-art algorithms, the proposed joint feature outperforms them in detecting small targets in complicated backgrounds.
会议名称9th International Conference on Digital Image Processing (ICDIP)
会议日期MAY 19-22, 2017
会议地点Hong Kong, PEOPLES R CHINA
收录类别EI ; CPCI
文献类型会议论文
条目标识符http://ir.nssc.ac.cn/handle/122/6043
专题空间技术部
通讯作者Li, DW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, 1 Nanertiao, Beijing 100190, Peoples R China.; Li, DW (reprint author), Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China.
推荐引用方式
GB/T 7714
Li, Dawei,Li, Mingtao,Zheng, Jianhua,et al. Joint Rotation Invariant Feature for Vehicle Detection in Aerial Images[C],2017.
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