An Efficient Real-Time Fire Detection Method Using Computer Vision and Neural Network-Based Video Analysis-Reference-Cited by-同舟云学术

An Efficient Real-Time Fire Detection Method Using Computer Vision and Neural Network-Based Video Analysis

Published:2022-11-10 Issue: Volume: Page:627-637
ISSN:2367-3370
Container-title:Proceedings of Third Doctoral Symposium on Computational Intelligence
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Author:

Nagulan S.,Srinivasa Krishnan A. N.,Kiran Kumar A.,Vishnu Kumar S.,Suchithra M.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3148-2_55

Reference15 articles.

1. Manickam MT et al (2019) Video-based fire detection by transforming to optimal color space. International conference on computational vision and bio inspired computing. Springer, Cham

2. Sridhar P, Thangavel SK, Parameswaran L (2021) A new approach for fire pixel detection in building environment using vision sensor. Innovations in computational intelligence and computer vision. Springer, Singapore, pp 392–400

3. Zhang J et al (2021) ATT Squeeze U-Net: a lightweight network for forest fire detection and recognition. IEEE Access 9:10858–10870

4. Srishilesh PS et al (2019) Dynamic and chromatic analysis for fire detection and alarm raising using real-time video analysis. In: International conference on computational vision and bio inspired computing. Springer, Cham

5. Sridhar P, Parameswaran L, Thangavel SK (2020) An efficient rule based algorithm for fire detection on real time videos. J Comput Theoret Nanosc 17(1):308–315

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