Limited-Anchor Deep Neural Network for Moving Object Detection

Chih Yang Lin; Han Yi Huang; Wei Yang Lin; Chuan Yu Chang; Wen Thong Chang; Yih Kuen Jan

doi:10.1109/ICCE-Taiwan49838.2020.9258320

Limited-Anchor Deep Neural Network for Moving Object Detection

Chih Yang Lin, Han Yi Huang, Wei Yang Lin, Chuan Yu Chang, Wen Thong Chang, Yih Kuen Jan

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

摘要

This paper proposes a new method that integrates a deep learning based object detection network into traditional background modeling to detect moving objects. The proposed method allows us to efficiently identify candidates that contain moving objects while only setting a small number of anchors in the moving area of the image through guidance from the traditional background modeling method. This paper overcomes the disadvantages of conventional background modeling methods and conventional deep learning based object detection methods in terms of dynamic backgrounds and objects' motion states.

原文	???core.languages.en_GB???
主出版物標題	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781728173993
DOIs	https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258320
出版狀態	已出版 - 28 9月 2020
事件	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan 持續時間: 28 9月 2020 → 30 9月 2020

出版系列

名字	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

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

???event.eventtypes.event.conference???	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
國家/地區	Taiwan
城市	Taoyuan
期間	28/09/20 → 30/09/20

存取文件

10.1109/ICCE-Taiwan49838.2020.9258320

引用此

Lin, C. Y., Huang, H. Y., Lin, W. Y., Chang, C. Y., Chang, W. T., & Jan, Y. K. (2020). Limited-Anchor Deep Neural Network for Moving Object Detection. 於 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 文章 9258320 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258320

@inproceedings{40eb3accc2124c54a0b06c74536cccfa,

title = "Limited-Anchor Deep Neural Network for Moving Object Detection",

abstract = "This paper proposes a new method that integrates a deep learning based object detection network into traditional background modeling to detect moving objects. The proposed method allows us to efficiently identify candidates that contain moving objects while only setting a small number of anchors in the moving area of the image through guidance from the traditional background modeling method. This paper overcomes the disadvantages of conventional background modeling methods and conventional deep learning based object detection methods in terms of dynamic backgrounds and objects' motion states.",

author = "Lin, {Chih Yang} and Huang, {Han Yi} and Lin, {Wei Yang} and Chang, {Chuan Yu} and Chang, {Wen Thong} and Jan, {Yih Kuen}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 ; Conference date: 28-09-2020 Through 30-09-2020",

year = "2020",

month = sep,

day = "28",

doi = "10.1109/ICCE-Taiwan49838.2020.9258320",

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

series = "2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020",

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

booktitle = "2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020",

}

Lin, CY, Huang, HY, Lin, WY, Chang, CY, Chang, WT & Jan, YK 2020, Limited-Anchor Deep Neural Network for Moving Object Detection. 於 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020., 9258320, 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Taoyuan, Taiwan, 28/09/20. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258320

Limited-Anchor Deep Neural Network for Moving Object Detection. / Lin, Chih Yang; Huang, Han Yi; Lin, Wei Yang 等.
2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9258320 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Limited-Anchor Deep Neural Network for Moving Object Detection

AU - Lin, Chih Yang

AU - Huang, Han Yi

AU - Lin, Wei Yang

AU - Chang, Chuan Yu

AU - Chang, Wen Thong

AU - Jan, Yih Kuen

PY - 2020/9/28

Y1 - 2020/9/28

N2 - This paper proposes a new method that integrates a deep learning based object detection network into traditional background modeling to detect moving objects. The proposed method allows us to efficiently identify candidates that contain moving objects while only setting a small number of anchors in the moving area of the image through guidance from the traditional background modeling method. This paper overcomes the disadvantages of conventional background modeling methods and conventional deep learning based object detection methods in terms of dynamic backgrounds and objects' motion states.

AB - This paper proposes a new method that integrates a deep learning based object detection network into traditional background modeling to detect moving objects. The proposed method allows us to efficiently identify candidates that contain moving objects while only setting a small number of anchors in the moving area of the image through guidance from the traditional background modeling method. This paper overcomes the disadvantages of conventional background modeling methods and conventional deep learning based object detection methods in terms of dynamic backgrounds and objects' motion states.

UR - http://www.scopus.com/inward/record.url?scp=85098458612&partnerID=8YFLogxK

U2 - 10.1109/ICCE-Taiwan49838.2020.9258320

DO - 10.1109/ICCE-Taiwan49838.2020.9258320

M3 - 會議論文篇章

AN - SCOPUS:85098458612

T3 - 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

BT - 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Y2 - 28 September 2020 through 30 September 2020

ER -

Lin CY, Huang HY, Lin WY, Chang CY, Chang WT, Jan YK. Limited-Anchor Deep Neural Network for Moving Object Detection. 於 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9258320. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). doi: 10.1109/ICCE-Taiwan49838.2020.9258320

Limited-Anchor Deep Neural Network for Moving Object Detection

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