Transferring deep knowledge for object recognition in Low-quality underwater videos

doi:10.1016/j.neucom.2017.09.044

CIOMP OpenIR

	Transferring deep knowledge for object recognition in Low-quality underwater videos
	Sun, X.; Shi, J. Y.; Liu, L. P.; Dong, J. Y.; Plant, C.; Wang, X. H.; Zhou, H. Y.
	2018
发表期刊	Neurocomputing
ISSN	0925-2312
卷号	275 页码:897-908
摘要	In recent years, underwater video technologies allow us to explore the ocean in scientific and noninvasive ways, such as environmental monitoring, marine ecology studies, and fisheries management. However the low-light and high-noise scenarios pose great challenges for the underwater image and video analysis. We here propose a CNN knowledge transfer framework for underwater object recognition and tackle the problem of extracting discriminative features from relatively low contrast images. Even with the insufficient training set, the transfer framework can well learn a recognition model for the special underwater object recognition task together with the help of data augmentation. For better identifying objects from an underwater video, a weighted probabilities decision mechanism is introduced to identify the object from a series of frames. The proposed framework can be implemented for real-time underwater object recognition on autonomous underwater vehicles and video monitoring systems. To verify the effectiveness of our method, experiments on a public dataset are carried out. The results show that the proposed method achieves promising results for underwater object recognition on both test image datasets and underwater videos. (C) 2017 Elsevier B.V. All rights reserved.
关键词	Deep learning Transfer learning Computer vision Object detection Underwater video analysis tracking Computer Science
DOI	10.1016/j.neucom.2017.09.044
收录类别	SCI ; EI
引用统计	被引频次：69[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/61198
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	Sun, X.,Shi, J. Y.,Liu, L. P.,et al. Transferring deep knowledge for object recognition in Low-quality underwater videos[J]. Neurocomputing,2018,275:897-908.
APA	Sun, X..,Shi, J. Y..,Liu, L. P..,Dong, J. Y..,Plant, C..,...&Zhou, H. Y..(2018).Transferring deep knowledge for object recognition in Low-quality underwater videos.Neurocomputing,275,897-908.
MLA	Sun, X.,et al."Transferring deep knowledge for object recognition in Low-quality underwater videos".Neurocomputing 275(2018):897-908.

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