Abstract—To achieve the final goal of assisting blind people
with obstacle detection along the roadside, the estimated height
of obstacles is a crucial part of our proposed system, which is
particularly important when waiting at bus stops. The color
moment technique is used for matching the obstacle areas
between two image areas. However, to distinguish between
matching and non-matching images, it is necessary to establish
certain criteria. This research proposes criteria selection and
optimization based on different weight values used in a color
moment equation and distance error measurement. Moreover,
HSV and RGB color models were compared. The experimental
results indicated that the optimal performance of the color
moment technique with a weight of (3, 1, 1) resulted in an
accuracy up to 86% for the RGB color model. This high level of
performance strongly suggests that our assistive application for
blind people would be both feasible and beneficial.
Index Terms—Assistive application for blind, bus-waiting color moment, height of obstacle estimation, suitable viewpoints.
Watcharin Tangsuksant and Chikamune Wada are with the Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Hibikino 2-4 Wakamatsu-ku Kitakyushu, Fukuoka 808-0196, Japan (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Watcharin Tangsuksant and Chikamune Wada, "Obstacle Height Estimation Related to Suitable Viewpoint while Waiting for the Bus Using Color Moment Technique," International Journal of Machine Learning and Computing vol. 10, no. 3, pp. 495-500, 2020.Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).