Real-time long short-term glance-based fire detection using a CNN-LSTM neural network
by Huan Van Nguyen; Thang Xuan Pham; Cuong Nguyen Le
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 14, No. 4, 2021

Abstract: Vision-based fire detection is widely studied recently to reduce the damage of fire disaster thanks to the advantages of software-based methods comparing to traditional hardware-based fire detection using sensors. This paper presents a novel method for fire detection using the convolutional neural networks on image sequences of videos to extract both the spatial and temporal information for fire classification. The system includes a CNN network to extract the image features, and short-term and long-term stages at the end for classification. Experiments carried out on the common public datasets show promising results in terms of performance in comparison to the previous works.

Online publication date: Thu, 28-Oct-2021

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