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Informative and compressed features for aircraft detection in object recognition system
Zhong, Jiandan1,2; Wu, Qinzhang1; Lei, Tao1; Yao, Guangle1,2; Sun, Kelin1
2016
Source PublicationProceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016
ISSN0277-786X
Volume10033Pages:1003331
SubtypeC
AbstractIt is a challenging task to build efficient and robust model for aircraft detection. In our object recognition system, aircraft detection is a main task, which faces various problems, such as blur, occlusion, and shape variation and so on. Existing approaches always require a set of complex classification model and a large number of training samples, which is inefficient and costly. In order to deal with these problems, we employ location based informative features to reduce the complexity of training data. With the employment of location based informative features, simple classifiers will manifest high performance instead of complex classifier which requires more complicated strategy for training. Further, our system needs to update the model frequently which is similar to online learning method, in order to reducing computational complexity, a very sparse measurement matrix is applied to extract features from feature space. The construction of this sparse matrix is based on the theory of sparse representation and compressed sensing. From the experimental results, the detection rate and cost of our proposed method is better than other traditional method. © 2016 SPIE.
KeywordClassification (Of Information) Feature Extraction Image Processing Matrix Algebra Object Detection Object Recognition Training Aircraft
DOI10.1117/12.2243777
Indexed BySCI ; Ei
Language英语
Funding OrganizationChengdu University of Information Technology ; Chinese Academy of Sciences Chengdu Institute of Computer Applications ; International Association of Computer Science and Information Technology ; Sichuan Province Computer Federation
WOS IDWOS:000391694700107
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/8492
Collection光电探测技术研究室(三室)
Affiliation1. Institute of Optics and Electronics Chinese Academy of Sciences, Chengdu
2.610209, China
3. University of Electronic Science and Technology of China, Chengdu
4.610054, China
Recommended Citation
GB/T 7714
Zhong, Jiandan,Wu, Qinzhang,Lei, Tao,et al. Informative and compressed features for aircraft detection in object recognition system[J]. Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016,2016,10033:1003331.
APA Zhong, Jiandan,Wu, Qinzhang,Lei, Tao,Yao, Guangle,&Sun, Kelin.(2016).Informative and compressed features for aircraft detection in object recognition system.Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016,10033,1003331.
MLA Zhong, Jiandan,et al."Informative and compressed features for aircraft detection in object recognition system".Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016 10033(2016):1003331.
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