SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos.
European Conference on Computer Vision(2022)
摘要
When analyzing human motion videos, the output jitters from existing pose estimators are highly-unbalanced with varied estimation errors across frames. Most frames in a video are relatively easy to estimate and only suffer from slight jitters. In contrast, for rarely seen or occluded actions, the estimated positions of multiple joints largely deviate from the ground truth values for a consecutive sequence of frames, rendering significant jitters on them.
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关键词
Human pose estimation,Jitter,Temporal models
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