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Contour detection using an improved holistically-nested edge detection network
Xu Z(徐峥)1,2,3,4; Luo HB(罗海波)1,3; Hui B(惠斌)1,3; Chang Z(常铮)1,3
Department光电信息技术研究室
Conference NameGlobal Intelligence Industry Conference, GIIC 2018
Conference DateMay 22-24, 2018
Conference PlaceBeijing, China
Author of SourceChinese Academy of Engineering
Source PublicationProceedings of SPIE - The International Society for Optical Engineering, Global Intelligence Industry Conference, GIIC 2018
PublisherSPIE
Publication PlaceBellingham, USA
2018
Pages1-7
Indexed ByEI ; CPCI(ISTP)
EI Accession number20183805842594
WOS IDWOS:000452819500002
Contribution Rank1
ISSN0277-786X
ISBN978-1-5106-2299-9
Abstract

Recently we have been concerned with locating and tracking targets in aerial videos. Targets in aerial videos usually have weak boundaries due to moving cameras. For the purpose of target detecting, detecting the contour of the target is needed and can help with improving the accuracy of target tracking. Edge detection has assisted in obtaining some advances in this effort. However, noisy images and weak boundary limit the performance of existing contour detecting algorithms. After analyzing the structures and edge maps of a Holistically-nested Edge Detection network, we utilize the highest level side-output and improve the architecture of HED; firstly we cut and resized our images into 400∗320 pixels. Secondly, we detected edges using our improved HED network. Finally, the contour of an object is found based on edge detecting in the previous stage. We have significantly decreased time spent by reducing 5 side output layers to only 1 and replacing the fusion layer with a refinement and image processing module which also helps with the result. The experimental results show that our algorithm outperforms the state-of-the-art regarding images with noise and weak boundary.

Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22733
Collection光电信息技术研究室
Corresponding AuthorXu Z(徐峥)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese, Academy of Sciences, Beijing 110049, China
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
4.Key Lab of Image Understanding and Computer Vision, Shenyang 110016, China
Recommended Citation
GB/T 7714
Xu Z,Luo HB,Hui B,et al. Contour detection using an improved holistically-nested edge detection network[C]//Chinese Academy of Engineering. Bellingham, USA:SPIE,2018:1-7.
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