论文标题
Monotrack：单眼羽毛球视频的穿梭轨迹重建
MonoTrack: Shuttle trajectory reconstruction from monocular badminton video
论文作者
论文摘要
轨迹估计是球拍运动分析的基本组成部分，因为该轨迹不仅包含有关每个点的获胜和损失的信息，还包含其赢得或丢失的信息。在诸如羽毛球之类的运动中，玩家知道整个3D轨迹，因为Shuttlecock或Ball的高度提供了宝贵的战术信息。不幸的是，3D重建是一个众所周知的困难问题，标准轨迹估计器只能跟踪2D像素坐标。在这项工作中，我们介绍了第一个完整的端到端系统，用于从单眼羽毛球视频中提取和分割3D穿梭轨迹。我们的系统集成了羽毛球域知识，例如法院维度，射击位置，运动定律，以及基于视觉的功能，例如玩家姿势和穿梭跟踪。我们发现，需要进行重大的工程工作和模型改进，以使整体系统健壮，并且作为我们工作的副产品，改善了法院认可，2D轨迹估算和命中率认可的最新结果。
Trajectory estimation is a fundamental component of racket sport analytics, as the trajectory contains information not only about the winning and losing of each point, but also how it was won or lost. In sports such as badminton, players benefit from knowing the full 3D trajectory, as the height of shuttlecock or ball provides valuable tactical information. Unfortunately, 3D reconstruction is a notoriously hard problem, and standard trajectory estimators can only track 2D pixel coordinates. In this work, we present the first complete end-to-end system for the extraction and segmentation of 3D shuttle trajectories from monocular badminton videos. Our system integrates badminton domain knowledge such as court dimension, shot placement, physical laws of motion, along with vision-based features such as player poses and shuttle tracking. We find that significant engineering efforts and model improvements are needed to make the overall system robust, and as a by-product of our work, improve state-of-the-art results on court recognition, 2D trajectory estimation, and hit recognition.
