Efficient deep CNN-based fire detection and localization in video surveillance applications

Muhammad, K., Ahmad, J., Lv, Z. et al. (3 more authors) (2019) Efficient deep CNN-based fire detection and localization in video surveillance applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49 (7). pp. 1419-1434. ISSN 2168-2216

Abstract

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Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Convolutional Neural Networks; Deep Learning; Fire Detection; Fire Localization; Fire Disaster; Image Classification; Surveillance Networks
Dates:
  • Accepted: 18 March 2018
  • Published (online): 14 June 2018
  • Published: July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 Sep 2019 09:56
Last Modified: 11 Sep 2019 09:56
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tsmc.2018.2830099

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