Computer vision based method to detect fire with color variation in temporal domain
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Ung | - |
dc.contributor.author | Jeong, Jechang | - |
dc.contributor.author | Jeon, Gwanggil | - |
dc.date.accessioned | 2022-07-15T23:32:42Z | - |
dc.date.available | 2022-07-15T23:32:42Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2015-04 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157535 | - |
dc.description.abstract | Because of false detection rate, many fire detection algorithm cannot easily become a part of alarm monitoring system, so in this paper, we proposed to detect fire precisely with color variation in temporal domain to reduce false detection rate. By capturing special characteristic of fire in temporal domain, we can get reliable experimental result tested by 24 video sequences. With our algorithm, we can detect fire in more than 90% of cases tested by fire and non-fire 24 sequences, and also makes false detection less than 10%. And most of false detection are shown in unusual videos that have fire becoming extinguished and dancing people with moving camera. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Computer vision based method to detect fire with color variation in temporal domain | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1109/SITIS.2014.81 | - |
dc.identifier.scopusid | 2-s2.0-84928543884 | - |
dc.identifier.bibliographicCitation | Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014, pp.659 - 665 | - |
dc.relation.isPartOf | Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014 | - |
dc.citation.title | Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014 | - |
dc.citation.startPage | 659 | - |
dc.citation.endPage | 665 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Computer vision | - |
dc.subject.keywordPlus | Fire detectors | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Color variations | - |
dc.subject.keywordPlus | False detections | - |
dc.subject.keywordPlus | Fire detection | - |
dc.subject.keywordPlus | Fire detection algorithms | - |
dc.subject.keywordPlus | Monitoring system | - |
dc.subject.keywordPlus | Temporal domain | - |
dc.subject.keywordPlus | Video sequences | - |
dc.subject.keywordPlus | Vision-based methods | - |
dc.subject.keywordPlus | Fires | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Cameras | - |
dc.subject.keywordPlus | Color | - |
dc.subject.keywordPlus | Pattern Recognition | - |
dc.subject.keywordAuthor | computer vision | - |
dc.subject.keywordAuthor | fire detection | - |
dc.subject.keywordAuthor | temporal domain | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7081612 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.