Institute of Computing Technology, Chinese Academy IR
Moving Object Detection With Deep CNNs | |
Zhu, Haidi1,2; Yan, Xin1; Tang, Hongying1; Chang, Yuchao1; Li, Baoqing1; Yuan, Xiaobing1 | |
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 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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