论文标题
Blansetgen- MOCAP数据集的合成毯子遮挡额扩大管道
BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets
论文作者
论文摘要
然而，由于缺乏代表性数据集，人类运动分析最近发生了巨大的改进，对于临床内床场景，它仍然落后。为了解决这个问题，我们实施了Blanketgen，该管道可以增加带有合成毯子的视频。使用此管道，我们生成了一个姿势估计数据集3DPW的增强版本，称为Blassetgen-3DPW。然后，我们使用这个新数据集微调了深度学习模型，以在这些情况下以有希望的结果来提高其性能。代码和更多信息可在https://gitlab.inesctec.pt/brain-lab/brain-lab/brain-public/blanket-gen-releases中获得。
Human motion analysis has seen drastic improvements recently, however, due to the lack of representative datasets, for clinical in-bed scenarios it is still lagging behind. To address this issue, we implemented BlanketGen, a pipeline that augments videos with synthetic blanket occlusions. With this pipeline, we generated an augmented version of the pose estimation dataset 3DPW called BlanketGen-3DPW. We then used this new dataset to fine-tune a Deep Learning model to improve its performance in these scenarios with promising results. Code and further information are available at https://gitlab.inesctec.pt/brain-lab/brain-lab-public/blanket-gen-releases.
