Posture Recognition with Monocular Camera and Analysis in the Long Jump

Abstract

This paper proposes an image analysis method of recorded images of long jump captured with monocular camera. The posture at the moment of jumping is automatically recognized based on the running lanes and the spring board, and the various features for analysis at that moment are extracted and analyzed. The proposed method is applied to the actual data of experienced players and some features are found to be correlated to the jumping records.