Learning to compare visibility on webcam images
Pierre Lepetit, Laurent Barthès, Cécile Mallet, Nicolas Viltard · 2020
Since the 2000’s, cameras are considered as an interesting source of opportunistic meteorological data. This short study deals with the comparison of visibility, in a meteorological sense, between images. A new dataset has been built from publicly available webcam sequences. An original labeling process, based on a mergesort algorithm, allowed us to sort more than 400 webcam sequences with respect to visibility. Standard Convolutional Neural Networks have been trained to predict pairwise comparisons and tested on independent webcams that are colocalized with visibilimeters. Results on the comparison task are promising.