Extraction of Water Level Fluctuation from Surveillance Camera Image

Abstract

In recent years, surveillance systems have developed and river surveillance systems with many researches about water level detection enable many rivers to prevent water disaster. However, water level detections with the river surveillance camera are less. In this paper, we present a method to extract the water level fluctuation with river surveillance camera images. First, we summarize input videos with a shake correction and decrease colors in images with Meanshift. Next, we segment river parts with k-means method. Next, we identify river widths with segmented river parts and a line which we manually select. Finally, we judge whether the water level are increasing with identified river width and a border line which we assume the river flood. As a result of judging for many images, we have problems which identify river sides as river parts and imperfectly segment river parts in the river.