A fire detection and localisation method based on keyframes and superpixels for large-space buildings
by Qiansheng Fang; Zhuang Peng; Pu Yan; Jing Huang
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 16, No. 1, 2023

Abstract: Relevant fire detection and localisation methods suffer from the problems of slow detection speeds, low detection accuracies and low localisation precisions when applied to large-space buildings. To address these problems, a fire detection and localisation method based on keyframes and superpixels is proposed herein. Initially, we improve the SuperPoint method to extract video keyframes; then, we detect and locate fires only on these extracted video keyframes, thus extensively improving the detection speed. Then, we perform fire detection and localisation via superpixel and multi-feature fusion methods applied to the extracted video keyframes, and the results are more accurate than those obtained with single features, thus realising precise localisation. The experimental results obtained using a publicly available fire dataset reveal that our method realises good keyframe extraction, fire detection and fire localisation performances and is thus suitable for detecting and localising fires under large-building surveillance.

Online publication date: Mon, 16-Jan-2023

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