FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning

arXiv:2404.06653v1 Announce Type: new
Abstract: FlameFinder is a deep metric learning (DML) framework designed to accurately detect flames, even when obscured by smoke, using thermal images from firefighter drones during wildfire monitoring. Traditional RGB cameras struggle in such conditions, but thermal cameras can capture smoke-obscured flame features. However, they lack absolute thermal reference points, leading to false positives.To address this issue, FlameFinder utilizes paired thermal-RGB images for training. By learning latent flame features from smoke-free samples, the model becomes less …

abstract arxiv cameras cs.cv drones features fire framework however images monitoring smoke struggle through type wildfire