Moving Object Detection With Deep CNNs

doi:10.1109/ACCESS.2020.2972562

	Moving Object Detection With Deep CNNs
	Zhu, Haidi 1,2; Yan, Xin 1; Tang, Hongying 1; Chang, Yuchao 1; Li, Baoqing 1; Yuan, Xiaobing 1
	2020
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	8 页码:29729-29741
摘要	In large field of view for open country, the real-time detection and identification of moving objects with high accuracy is a very challenging work due to the excessive amount of data. This paper proposes a novel framework that consists of a coarse-grained detection as well as a fine-grained detection. To solve the problem of noise-induced object fracture during the coarse-grained detection process, we present a low-complexity connected region detection algorithm to extract moving regions. Furthermore, in the fine-grained detection, Deep Convolution Neural Networks are leveraged to detect more precise coordinates and identify the category of objects. To the best of our knowledge, this is the first work that proposes a coarse-to-fine grained framework to detect moving objects on high-resolution scenes. Experimental results show that the proposed framework can robustly work on the high resolution video frames (1920 & x002A;1080p) with complex situations more fastly and accurately over existing methods.
关键词	Connected region detection deep convolution neural networks foreground extraction high resolution moving object detection
DOI	10.1109/ACCESS.2020.2972562
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000525401500126
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15418
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Baoqing
作者单位	1.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Wireless Sensor Network Lab, Shanghai 201800, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Haidi,Yan, Xin,Tang, Hongying,et al. Moving Object Detection With Deep CNNs[J]. IEEE ACCESS,2020,8:29729-29741.
APA	Zhu, Haidi,Yan, Xin,Tang, Hongying,Chang, Yuchao,Li, Baoqing,&Yuan, Xiaobing.(2020).Moving Object Detection With Deep CNNs.IEEE ACCESS,8,29729-29741.
MLA	Zhu, Haidi,et al."Moving Object Detection With Deep CNNs".IEEE ACCESS 8(2020):29729-29741.