| Department | 光电测控技术研究室（三室） |
| Robust Aircraft Detection with a Simple and Efficient Model | |
| Zhong, Jiandan1,2,3; Lei, Tao1; Yao, Guangle1,2,3; Jiang, Ping1 | |
| Source Publication | INFORMATION
 |
| Volume | 9Issue:4Pages:74 |
| 2018-04-01 | |
| Language | 英语 |
| ISSN | 2078-2489 |
| DOI | 10.3390/info9040074 |
| Indexed By | SCI ; Ei |
| WOS ID | WOS:000436149200006 |
| EI Accession Number | 20181404987402 |
| Subtype | J |
| Abstract | 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. |
| Keyword | aircraft detection local informative features compressive sensing occlusion |
| WOS Keyword | AIRPLANE DETECTION ; RANDOM PROJECTIONS ; MULTICLASS ; FEATURES ; TRACKING ; JOHNSON ; PROOF |
| EI Keywords | Compressed sensing |
| EI Classification Number | 716.1 Information Theory and Signal Processing ; 716.2 Radar Systems and Equipment |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/9289 |
| Collection | 光电测控技术研究室（三室） |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2018-2056.pdf（75853KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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