Landscape analysis of marathon course of 2020 Tokyo Olympic Games by using image sequences

Abstract

Image sequence of the running direction along marathon course of 2020 Tokyo Olympic Games by GoPro, and GPS positioning by iPad was also performed due to distance from start point and altitude were acquired. Moreover, analysis of sequential landscape was performed by multiple theories of image processing in this paper. As a result, complexity of the landscape for certain object and overall could be expressed by using 2 kinds of fractal analysis respectively. Particularly, the difference of landscape for each position could be understood quantitatively. Therefore, quantitative analysis for sequential landscape was realized. On the other hand, position for each scene of the landscape could be obtained by GPS. These proposal methods could acquire quantitative data for landscape, however subjective information by the runners are also required for landscape planning. Such data or information will be combined to be analyzed, consequently it can be seen that the supply of the objective and reliable information for the landscape by runners will be realized.