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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
发表期刊Proceedings of SPIE: Eighth International Conference on Digital Image Processing, ICDIP 2016
ISSN0277-786X
卷号10033页码:1003331
文章类型C
摘要It 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.
关键词Classification (Of Information) Feature Extraction Image Processing Matrix Algebra Object Detection Object Recognition Training Aircraft
DOI10.1117/12.2243777
收录类别SCI ; Ei
语种英语
项目资助者Chengdu 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记录号WOS:000391694700107
引用统计
文献类型期刊论文
条目标识符http://ir.ioe.ac.cn/handle/181551/8492
专题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
2.610209, China
3. University of Electronic Science and Technology of China, Chengdu
4.610054, China
推荐引用方式
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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