论文标题

使用深神经网络进行自动游泳分析

Towards Automated Swimming Analytics Using Deep Neural Networks

论文作者

Woinoski, Timothy, Harell, Alon, Bajic, Ivan V.

论文摘要

在本文中考虑了创建系统以自动化游泳分析集合的系统的方法。用于机器学习目的的游泳者跟踪或创建游泳者数据库的工作并不多。因此,探索和分析了从游泳比赛视频中收集游泳者数据的方法。结果是创建适合培训游泳者检测和跟踪系统的全面游泳数据集合的指南。借助此数据库,可以创建系统以自动化游泳分析的集合。

Methods for creating a system to automate the collection of swimming analytics on a pool-wide scale are considered in this paper. There has not been much work on swimmer tracking or the creation of a swimmer database for machine learning purposes. Consequently, methods for collecting swimmer data from videos of swim competitions are explored and analyzed. The result is a guide to the creation of a comprehensive collection of swimming data suitable for training swimmer detection and tracking systems. With this database in place, systems can then be created to automate the collection of swimming analytics.

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