Deep Learning based Moving Object Detection for Video Surveillance

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

doi:10.1109/ICCE-TW46550.2019.8991778

Deep Learning based Moving Object Detection for Video Surveillance

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

機械工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

7 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	https://doi.org/10.1109/ICCE-TW46550.2019.8991778
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 2019 → 22 5月 2019

出版系列

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

???event.eventtypes.event.conference???

???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	20/05/19 → 22/05/19

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10.1109/ICCE-TW46550.2019.8991778

引用此

Huang, H. Y., Lin, C. Y., Lin, W. Y., Lee, C. C., & Chang, C. Y. (2019). Deep Learning based Moving Object Detection for Video Surveillance. 於 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 文章 8991778 (2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW46550.2019.8991778

@inproceedings{564935cb91ee4ef880b0f4e4ccdda89a,

title = "Deep Learning based Moving Object Detection for Video Surveillance",

abstract = "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.",

author = "Huang, {Han Yi} and Lin, {Chih Yang} and Lin, {Wei Yang} and Lee, {Chien Cheng} and Chang, {Chuan Yu}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 ; Conference date: 20-05-2019 Through 22-05-2019",

year = "2019",

month = may,

doi = "10.1109/ICCE-TW46550.2019.8991778",

language = "???core.languages.en_GB???",

series = "2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019",

}

Huang, HY, Lin, CY, Lin, WY, Lee, CC & Chang, CY 2019, Deep Learning based Moving Object Detection for Video Surveillance. 於 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019., 8991778, 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019, Institute of Electrical and Electronics Engineers Inc., 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019, Yilan, Taiwan, 20/05/19. https://doi.org/10.1109/ICCE-TW46550.2019.8991778

Deep Learning based Moving Object Detection for Video Surveillance. / Huang, Han Yi; Lin, Chih Yang; Lin, Wei Yang 等.
2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8991778 (2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Deep Learning based Moving Object Detection for Video Surveillance

AU - Huang, Han Yi

AU - Lin, Chih Yang

AU - Lin, Wei Yang

AU - Lee, Chien Cheng

AU - Chang, Chuan Yu

PY - 2019/5

Y1 - 2019/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85080119194&partnerID=8YFLogxK

U2 - 10.1109/ICCE-TW46550.2019.8991778

DO - 10.1109/ICCE-TW46550.2019.8991778

M3 - 會議論文篇章

AN - SCOPUS:85080119194

T3 - 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Y2 - 20 May 2019 through 22 May 2019

ER -

Huang HY, Lin CY, Lin WY, Lee CC, Chang CY. Deep Learning based Moving Object Detection for Video Surveillance. 於 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8991778. (2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019). doi: 10.1109/ICCE-TW46550.2019.8991778

Deep Learning based Moving Object Detection for Video Surveillance

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