Human Detection in Paddy Field by Image Processing

Abstract

We developed a method of human detection in a paddy field in order to safely operate a robot combine harvester. Images with and without human in a paddy field were used to develop an image processing algorithm. Previously we developed a texture feature method to detect human and its location in an image. However, the result was not so accurate, particularly in the background of the image or amongst lodging rice plants. Therefore, a new color feature method was developed to improve the precision in this study. When both the color feature and texture feature methods are used in combination, the precision was improved significantly.