中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multiscale Fully Convolutional Network for Foreground Object Detection in Infrared Videos

文献类型:期刊论文

作者Zeng, D. D.; Zhu, M.
刊名Ieee Geoscience and Remote Sensing Letters
出版日期2018
卷号15期号:4页码:617-621
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
ISSN号1545-598X
DOI10.1109/lgrs.2018.2797538
英文摘要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.
源URL[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.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。