Detection of engineering vehicles in high-resolution monitoring images-Reference-Cited by-同舟云学术

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Detection of engineering vehicles in high-resolution monitoring images

Published:2015-05 Issue:5 Volume:16 Page:346-357
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Frontiers Inf Technol Electronic Eng

Author:

Liu Xun,Zhang Yin,Zhang San-yuan,Wang Ying,Liang Zhong-yan,Ye Xiu-zi

Funder

China Knowledge Centre for Engineering Sciences and Technology

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

http://link.springer.com/article/10.1631/FITEE.1500026/fulltext.html

Reference43 articles.

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2. Bay, H., Ess, A., Tuytelaars, T., et al., 2008. Speeded-up robust features (SURF). Comput. Vis. Image Understand., 110(3):346–359. [doi: 10.1016/j.cviu.2007.09.014 ]

3. Breiman, L., Spector, P., 1992. Submodel selection and evaluation in regression. The X-random case. Int. Statist. Rev., 60(3):291–319.

4. Calonder, M., Lepetit, V., Strecha, C., et al., 2010. BRIEF: binary robust independent elementary features. Proc. 11th European Conf. on Computer Vision, p.778–792. [doi: 10.1007/978-3-642-15561-1_56 ]

5. Dalal, N., Triggs, B., 2005. Histograms of oriented gradients for human detection. Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, p.886–893. [doi: 10.1109/CVPR.2005.177 ]

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