201904:Action recognition based on 2D skeletons extracted from RGB videos
论文标题：Action recognition based on 2D skeletons extracted from RGB videos 发表时间：02 April 2019 解决问题/主要思想：来源：谷歌最新论文推荐，来自全球排名大概550名的蒙斯大学 使用openPose对图像提取关键点，然后计算关键点的信息，分成三个矩阵，输入网络训练，从而对动作进行分类 成果/优点： the hi
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相关文章
- 1. 2017 sensors之ReID：Person Recognition System Based on a Combination of Body Images from Visible Light
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- 5. TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation（论文翻译）
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