2D Video Dataset for Detailed Pose Estimation of the Running Form
Justine Scicluna, Dylan Seychell, Danica Bonello Spiteri · 2023
The goal of pose estimation in computer vision is to detect and classify the joints of the human body to describe the pose of a person. During running, pose estimation can provide valuable insights into the running form and identify abnormalities or areas for improvement. Most existing datasets are image-based and contain at most 17 keypoints and miss important joints, such as heels and toes, which are essential for properly analysing the running form. This paper proposes a new video dataset annotated with 26 body key points to facilitate the benchmarking of pose estimation in this area and promote new opportunities for further research on the running form.