Robust Aircraft Detection with a Simple and Efficient Model | |
Zhong, Jiandan1,2,3; Lei, Tao1; Yao, Guangle1,2,3; Jiang, Ping1 | |
刊名 | INFORMATION |
2018-04-01 | |
卷号 | 9期号:4页码:74 |
关键词 | aircraft detection local informative features compressive sensing occlusion |
ISSN号 | 2078-2489 |
DOI | 10.3390/info9040074 |
文献子类 | J |
英文摘要 | Aircraft detection is the main task of the optoelectronic guiding and monitoring system in airports. In practical applications, we demand not only detection accuracy, but also efficiency. Existing detection approaches always train a set of holistic templates to search over a multi-scale image space, which is inefficient and costly. Moreover, the holistic templates are sensitive to the occluded or truncated object, although they are trained by many complicated features. To address these problems, we firstly propose a kind of local informative feature which combines a local image patch with its corresponding location. Additionally, for computational reasons, a feature compression method (based on sparse representation and compressive sensing) is proposed to reduce the dimensionality of the feature vector, and which shows excellent performance. Thirdly, to improve the detection accuracy during detection stage, a position estimation algorithm is proposed to calibrate the aircraft's centroid. From the experimental results, our model achieves favorable detection accuracy, especially for the partially-occluded object. Furthermore, the detection speed is remarkably improved as well. |
WOS关键词 | AIRPLANE DETECTION ; RANDOM PROJECTIONS ; MULTICLASS ; FEATURES ; TRACKING ; JOHNSON ; PROOF |
语种 | 英语 |
WOS记录号 | WOS:000436149200006 |
内容类型 | 期刊论文 |
源URL | [http://ir.ioe.ac.cn/handle/181551/9289] |
专题 | 光电技术研究所_光电探测技术研究室(三室) |
作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 3.School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing; 100039, China |
推荐引用方式 GB/T 7714 | Zhong, Jiandan,Lei, Tao,Yao, Guangle,et al. Robust Aircraft Detection with a Simple and Efficient Model[J]. INFORMATION,2018,9(4):74. |
APA | Zhong, Jiandan,Lei, Tao,Yao, Guangle,&Jiang, Ping.(2018).Robust Aircraft Detection with a Simple and Efficient Model.INFORMATION,9(4),74. |
MLA | Zhong, Jiandan,et al."Robust Aircraft Detection with a Simple and Efficient Model".INFORMATION 9.4(2018):74. |
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