eprintid: 4021
rev_number: 7
eprint_status: archive
userid: 11
dir: disk0/00/00/40/21
datestamp: 2020-07-18 02:45:51
lastmod: 2020-07-18 02:45:51
status_changed: 2020-07-18 02:45:51
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Viet Thang
creators_name: Quach, Cong Hoang
creators_name: Pham, Minh Trien
creators_id: hoangqc@vnu.edu.vn
creators_id: trienpm@vnu.edu.vn
title: Video Smoke Detection For Surveillance Cameras Based On Deep Learning In Indoor Environment
ispublished: inpress
subjects: ECE
divisions: fac_fet
abstract: An early fire detection in indoor environment is essential for people’s safety. During the past
few years, many approaches using image processing
and computer vision techniques were proposed. However, it is still a challenging task for application of
video smoke detection in indoor environment, because
the limitations of data for training and lack of efficient
algorithms. The purpose of this paper is to present
a new smoke detection method by using surveillance
cameras. The proposed method is composed of two
stages. In the first stage, motion regions between
consecutive frames are located by using optical flow. In
the second stage, a deep convolutional neural network
is used to detect smoke in motion regions. To overcome
the problem of lacking data, simulated smoke images
are used to enrich the dataset. The proposed method
is tested on our data set and real video sequences.
Experiments show that the new method is successfully
applied to various indoor smoke videos and significant
for improving the accuracy of fire smoke detection.
Source code and the dataset have been made available
online
date: 2020
date_type: completed
full_text_status: public
pres_type: lecture
event_title: The 4th International Conference on Recent Advances in  Signal Processing, Telecommunications & Computing (SigTelCom2020)
event_location: Hanoi, Vietnam
event_dates: August 28th – 29th, 2020
event_type: conference
refereed: TRUE
citation:   Nguyen, Viet Thang and Quach, Cong Hoang and Pham, Minh Trien  (2020) Video Smoke Detection For Surveillance Cameras Based On Deep Learning In Indoor Environment.  In: The 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom2020), August 28th – 29th, 2020, Hanoi, Vietnam.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4021/1/1570637332-2.pdf