Video Augmentation Method for the Facilitation of Skill Learning in Karate
Video Augmentation Method for the Facilitation of Skill Learning in Karate
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DOI：
10.1109/tale48869.2020.9368331
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Kazumoto Tanaka
中科院分区：
文献类型：
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作者：
Kazumoto Tanaka
本文介绍了一种利用空手道比赛录像进行图像处理的方法。该方法通过基于网络的生成器生成完整的球场图像，对输入视频图像中部分拍摄的空手道球场进行补偿。为了评估我们的方法，我们在一个以玩家为中心的视频中添加了完整的比赛场地信息。增强视频对于观察球员的动作以及球员在整个比赛场地中的位置都很有用。特别是，基于生成对抗网络（GAN）框架开发了一个完整的法庭图像生成器来执行该视频增强。
This paper describes an image processing method that can facilitate skill learning in karate using recorded karate competition videos. The proposed method compensates for a partially filmed karate court in the input video image by generating a complete court image via a network-based generator. To evaluate our method, a player-focused video was augmented with complete competition field information. The augmented video would be useful for observing both players’ actions as well as the player positioning within the entire competition court. In particular, a complete court image generator was developed based on a generative adversarial network (GAN) framework to perform this video augmentation.