ESTIMATING A RUNNER'S STRIDE LENGTH AND FREQUENCY FROM A RACE VIDEO BY USING GROUND STITCHING

Authors

Kentaro Yagi, Keio UniversityFollow
Kunihiro Hasegawa, Keio UniversityFollow
Yuta Sugiura, Keio UniversityFollow
Hideo Saito, Keio UniversityFollow

Category

Technology/equipment

Document Type

Paper

Abstract

This study estimated stride length and frequency of runners in a 100 m race video. One method for measuring stride length and frequency is using infrared sensors. However, this method is not applicable to real races since numerous markers with infrared-reflective material must be attached to the runner’s entire body. Therefore, we proposed a method using a race video. We generated a panoramic image of the 100 m track to estimate the distance of each frame from the start line. We detected the positions of the runner’s steps from the movement of the leg joints. We projected every step to the overview image of the 100 m track. In the experiment, we applied our method to the video of an IAAF World Championship Track and Field 100 m race and obtained data from Usain Bolt. As a result, we can automatically estimate stride length and frequency of real races.

Recommended Citation

Yagi, Kentaro; Hasegawa, Kunihiro; Sugiura, Yuta; and Saito, Hideo (2018) "ESTIMATING A RUNNER'S STRIDE LENGTH AND FREQUENCY FROM A RACE VIDEO BY USING GROUND STITCHING," ISBS Proceedings Archive: Vol. 36: Iss. 1, Article 47.
Available at: https://commons.nmu.edu/isbs/vol36/iss1/47