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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
作者部门光电信息技术研究室
会议名称Global Intelligence Industry Conference, GIIC 2018
会议日期May 22-24, 2018
会议地点Beijing, China
会议主办者Chinese Academy of Engineering
会议录名称Proceedings of SPIE - The International Society for Optical Engineering, Global Intelligence Industry Conference, GIIC 2018
出版者SPIE
出版地Bellingham, USA
2018
页码1-7
收录类别EI
EI收录号20183805842594
产权排序1
ISSN号0277-786X
ISBN号978-1-5106-2299-9
摘要

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.

语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22733
专题光电信息技术研究室
通讯作者Xu Z(徐峥)
作者单位1.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
推荐引用方式
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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