FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video

Understand

In this paper, we share our approach to real-time segmentation of fire perimeter from aerial full-motion infrared video.

• We start by describing the problem from a humanitarian aid and disaster response perspective.
• Specifically, we explain the importance of the problem, how it is currently resolved, and how our machine learning approach improves it.
• To test our models we annotate a large-scale dataset of 400,000 frames with guidance from domain experts.