Deep Learning based Moving Object Detection for Video Surveillance

Han Yi Huang, Chih Yang Lin, Wei Yang Lin, Chien Cheng Lee, Chuan Yu Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

This paper proposes a new two-stream neural network which combines the traditional background modeling method with a deep learning network to detect moving objects. The input for the deep neural network is the original image and its corresponding foreground image, while the output is the bounding boxes of the moving objects in the image. Traditional CNN methods cannot distinguish moving objects from static objects, but the method in this paper successfully solves this problem.

原文???core.languages.en_GB???
主出版物標題2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728132792
DOIs
出版狀態已出版 - 5月 2019
事件6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan
持續時間: 20 5月 201922 5月 2019

出版系列

名字2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

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???event.eventtypes.event.conference???6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
國家/地區Taiwan
城市Yilan
期間20/05/1922/05/19

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