Deep Learning based Moving Object Detection for Video Surveillance

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132792
DOIs
StatePublished - May 2019
Event6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan
Duration: 20 May 201922 May 2019

Publication series

Name2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Conference

Conference6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
Country/TerritoryTaiwan
CityYilan
Period20/05/1922/05/19

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