BlanketGen - A Synthetic Blanket Occlusion Augmentation Pipeline for Motion Capture Datasets

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Carmona, J (Author) Other; Karacsony, T (Author) Other; Cunha, JPS (Author) FEUP

Conference proceedings International

Title: 2023 IEEE 7TH PORTUGUESE MEETING ON BIOENGINEERING, ENBENG

Pages: 112-115

IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)

Porto, PORTUGAL, JUN 22-23, 2023

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Other information

Authenticus ID: P-00Y-S26

DOI: 10.1109/enbeng58165.2023.10175320

Abstract (EN): 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 BlanketGen3DPW. 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/brainlab-public/blanket-gen-releases.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4