@inproceedings{c78abafc464249798e1201477f6473ab,
title = "Deep Learning based Effective Surveillance System for Low-Illumination Environments",
abstract = "Surveillance cameras are installed in various locations and contribute to security maintenance and safety. Thus, the video quality of surveillance cameras is important for safety. However, in situations such as nighttime, low-illumination often causes poor image quality. To solve this problem, we propose a system to help acquire quality images of general surveillance cameras utilized in various places through a combination of image quality improvement networks and object detect networks. This will improve safety in low-illumination areas at night. It is also possible to establish a more effective monitoring system for situations occurring in low-illumination areas.",
keywords = "deep learning, image enhancement, low-illumination, object detection, surveillance",
author = "Kim, {In Su} and Yunju Jeong and Kim, {Seock Ho} and Jang, {Jae Seok} and Jung, {Soon Ki}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 ; Conference date: 02-07-2019 Through 05-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ICUFN.2019.8806120",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE Computer Society",
pages = "141--143",
booktitle = "ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks",
address = "United States",
}