Dark convolutional neural network for forest smoke detection and localization based on single image

Author:

Lu NaORCID

Funder

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference35 articles.

1. Achanta R, Shaji A, Smith K, Lucchi A, Fua P, Süsstrunk S (2012) SLIC Superpixels Compared to State-of-the-Art Superpixel Methods. IEEE Trans Pattern Anal Mach Intell 34:2274–2282

2. (2017). Available: http://www.sohu.com/a/193793190_260616

3. Bochkovskiy A, Wang CY, Liao H.-Y. M (2020) YOLOv4: Optimal Speed and Accuracy of Object Detection. ArXiv, vol. abs.10934

4. Bohush R, Brouka N (2013) Smoke and flame detection in video sequences based on static and dynamic features. In: 2013 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), pp. 20–25

5. Chi R, Lu Z, Ji Q (2017) Real-time multi-feature based fire flame detection in video. IET Image Proc 11:31–37

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