Automatic detection of dead trees using in-vehicle video based on semantic segmentation

Abstract

This paper proposes a method for automatic detection of dead trees using in-vehicle videos. The proposed method extracts vegetation regions from videos containing various objects based on semantic segmentation. Then, it detects dead trees from the extracted vegetation regions using color information. By presenting the dead tree regions detected by the proposed method to engineers, they can find dead trees efficiently. In the last part of this paper, the effectiveness of the proposed method is verified through experiments using actual in-vehicle videos.