Recurrent human pose estimation
We propose a novel ConvNet model for predicting 2D human body poses in an image. The model regresses a heatmap representation for each body keypoint, and is able to learn and represent both the part appearances and the context of the part configuration. We make the following three contributions: (i)...
主要な著者: | Belagiannis, V, Zisserman, A |
---|---|
フォーマット: | Internet publication |
言語: | English |
出版事項: |
arXiv
2016
|
類似資料
-
Recurrent human pose estimation
著者:: Belagiannis, V, 等
出版事項: (2017) -
Personalizing human video pose estimation
著者:: Charles, J, 等
出版事項: (2016) -
2D human pose estimation in TV shows
著者:: Ferrari, V, 等
出版事項: (2009) -
Progressive search space reduction for human pose estimation
著者:: Ferrari, V, 等
出版事項: (2008) -
Flowing ConvNets for human pose estimation in videos
著者:: Pfister, T, 等
出版事項: (2016)