Adaptive Color Tracking for Particle Filter to Control a Drone in a Forest

Abstract

Recently, drones have been used for many purposes. The investigation of tree growth in a forest is also one of the expectations for drone applications. The aim of this paper is that a drone recognizes a color marker which is set to a tree from an image, and a drone approaches to that tree, and then return to the goal zone. To solve the task, we propose to apply the algorithm of Particle Filter for the color marker recognition. The difficulty of applying image processing at a forest is that degree of luminance changes drastically, due to incident light through the trees. To overcome this difficulty, we attempt the method to update the tracking color by a time period. From the results of experiments, our proposal has been able to deal with changes in luminance intensity, and then a drone with our proposal has solved a part of the task for competition.

DOI: 10.1109/SCIS-ISIS.2016.0114

10 Figures and Tables

Cite this paper

@article{Kamei2016AdaptiveCT, title={Adaptive Color Tracking for Particle Filter to Control a Drone in a Forest}, author={Keiji Kamei and Kazu Narumi and Daisuke Shuto}, journal={2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS)}, year={2016}, pages={512-517} }