@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",
}