Multiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos

doi:10.1109/lgrs.2018.2797538

CIOMP OpenIR

	Multiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos
	Zeng, D. D.; Zhu, M.
	2018
发表期刊	Ieee Geoscience and Remote Sensing Letters
ISSN	1545-598X
卷号	15 期号:4 页码:617-621
摘要	Accurate and fast infrared (IR) foreground object detection is one of the most significant issues to be solved due to its important meaning for IR target recognition, IR precise guidance, IR video surveillance, and so on. A common approach for such tasks is "background subtraction," which aims to detect foreground object through background modeling. Thus far, many background subtraction methods have been proposed and have achieved good performance. However, due to the special characteristics of IR images, a few algorithms are suitable for IR foreground object detection. Recently, features learned from convolutional neural networks (CNNs) have demonstrated great success in many vision tasks, such as classification and recognition. In this letter, we propose a novel multiscale fully convolutional network architecture for IR foreground object detection. Given a CNN model pretrained on a large-scale image data set, our method takes output features from different layers of the network. With features from multiple scales, our feature representation contains both category-level semantics and fine-grain details. The experimental results on IR image sequences show that the proposed method achieves the state-of-the-art performance while operating in real time.
关键词	Background subtraction infrared (IR) object detection IR video surveillance multiscale fully convolutional network (MFCN) Geochemistry & Geophysics Engineering Remote Sensing Imaging Science & Photographic Technology
DOI	10.1109/lgrs.2018.2797538
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/61072
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, D. D.,Zhu, M.. Multiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos[J]. Ieee Geoscience and Remote Sensing Letters,2018,15(4):617-621.
APA	Zeng, D. D.,&Zhu, M..(2018).Multiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos.Ieee Geoscience and Remote Sensing Letters,15(4),617-621.
MLA	Zeng, D. D.,et al."Multiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos".Ieee Geoscience and Remote Sensing Letters 15.4(2018):617-621.

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