Automatic Matching of Performance Videos for Sprint Form Analysis

Abstract

This article presents an automatic matching method for sprint performance videos based on the distance between sprinterʼs body joints. This technique makes it easy to compare a sprint form (e.g. one to be improved) with another (e.g. the ideal one), and consequently, enables us to efficiently find problems on the sprint form. Our method inputs performance video pairs captured at two different points (e.g. 50 m vs. 90 m) in a 100 m sprint, and applies sprinter detection and pose estimation. Then, our method matches the video pairs within a dynamic time warping framework based on the sprint form similarity between video frames. Experimental results showed the effectiveness of the framework of our method.