Computer-readable recording medium storing region detection program, apparatus, and method

Abstract

Avoiding False Negatives in vision-based multi-view gymnast detection presents a significant challenge. Detection results with False Negatives can further impact subsequent processing, such as multi-view 3D pose estimation. Therefore, interpolating missing bounding boxes is a desirable solution. Assuming that calibrated camera parameters are known, our method interpolates missing bounding boxes when a gymnast's 2D bounding boxes are detected in more than two views but are absent in others. This method primarily involves three steps: 1) Inferring the vertical 3D body center line using detected cross-view 2D bounding boxes and camera parameters through 2D-to-3D projection; 2) Obtaining the average 3D gymnast scale from pre-acquired data, and then calculating the 3D horizontal scale based on the 3D vertical scale obtained in step 1; 3) Interpolating the missing 2D bounding boxes using the inferred 3D vertical line and horizontal scale through 3D-to-2D projection.