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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 PublicationINFORMATION
Volume9Issue:4Pages:74
2018-04-01
Language英语
ISSN2078-2489
DOI10.3390/info9040074
Indexed BySCI ; Ei
WOS IDWOS:000436149200006
EI Accession Number20181404987402
SubtypeJ
AbstractAircraft 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.
Keywordaircraft detection local informative features compressive sensing occlusion
WOS KeywordAIRPLANE DETECTION ; RANDOM PROJECTIONS ; MULTICLASS ; FEATURES ; TRACKING ; JOHNSON ; PROOF
EI KeywordsCompressed sensing
EI Classification Number716.1 Information Theory and Signal Processing ; 716.2 Radar Systems and Equipment
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9289
Collection光电测控技术研究室(三室)
Affiliation1.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.
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