Joint Rotation Invariant Feature for Vehicle Detection in Aerial Images
文献类型：会议论文
| 作者 | 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. |
| 出版日期 | 2017 |
| 会议日期 | MAY 19-22, 2017 |
| 会议地点 | Hong Kong, PEOPLES R CHINA |
| 英文摘要 | 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. |
| 会议录 | NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017)
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| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-1-5106-1305-8; 978-1-5106-1304-1 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/6043]  |
| 专题 | 国家空间科学中心_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]. 见:. Hong Kong, PEOPLES R CHINA. MAY 19-22, 2017. |
入库方式： OAI收割
来源：国家空间科学中心
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