Deep Convolutional Generative Adversarial Networks for Flame Detection in Video

Author:

Aslan SüleymanORCID,Güdükbay UğurORCID,Töreyin B. UğurORCID,Çetin A. EnisORCID

Publisher

Springer International Publishing

Reference22 articles.

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2. Aslan, S., Güdükbay, U., Töreyin, B.U., Çetin, A.E.: Early wildfire smoke detection based on motion-based geometric image transformation and deep convolutional generative adversarial networks. In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, pp. 8315–8319. IEEE, Brighton (2019)

3. Çetin, A.E., et al.: Video fire detection-review. Digit. Signal Proc. 23(6), 1827–1843 (2013)

4. Çetin, A.E., Merci, B., Günay, O., Töreyin, B.U., Verstockt, S.: Methods and Techniques for Fire Detection. Academic Press, Oxford (2016)

5. Dedeoğlu, Y., Toreyin, B.U., Güdükbay, U., Cetin, A.E.: Real-time fire and flame detection in video. In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing. ICASSO 2005, vol. 2, pp. ii–669. IEEE (2005)

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