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
DOI10.3390/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
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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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