Correction to “Background Subtraction Using Multiscale Fully Convolutional Network”

doi:10.1109/access.2018.2843226

CIOMP OpenIR

	Correction to “Background Subtraction Using Multiscale Fully Convolutional Network”
	Zeng, Dongdong; Zhu, Ming
	2018
发表期刊	IEEE Access
ISSN	2169-3536
卷号	6 页码:32225-32225
摘要	In the above paper [1], the authors did not cite a reference that was crucial to the paper. Please note that the following citation [2] should have been cited in the following paragraph (page 16014): 'From the output binary masks we can see that there is a great contrast between the foreground objects and their back-grounds, and in most cases the foreground objects are uniform connected areas, which means that in the input frames, there should also have a big difference of the features between the foreground and the background [2].' and 'So in order to extract this kind of contrast information, we add a contrast layer [2] after the feature layer Xi.' 2013 IEEE.
DOI	10.1109/access.2018.2843226
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60602
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Zeng, Dongdong,Zhu, Ming. Correction to “Background Subtraction Using Multiscale Fully Convolutional Network”[J]. IEEE Access,2018,6:32225-32225.
APA	Zeng, Dongdong,&Zhu, Ming.(2018).Correction to “Background Subtraction Using Multiscale Fully Convolutional Network”.IEEE Access,6,32225-32225.
MLA	Zeng, Dongdong,et al."Correction to “Background Subtraction Using Multiscale Fully Convolutional Network”".IEEE Access 6(2018):32225-32225.

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