BlanketGen - A Synthetic Blanket Occlusion Augmentation Pipeline for Motion Capture Datasets
2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)(2023)
摘要
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.
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关键词
Human pose estimation,Motion capture,Synthetic occlusions,Cloth simulation,Deep learning,Dataset augmentation
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