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[TCYB2018] Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images

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weleen/CADSTN.caffe

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This is the caffe implementation for Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images.

Introduction

We leverage an LSTM for capturing spatio-temporal context in the depth image sequences.

architecture

Datasets

Method NYU ICVL
HeatMap 21.02 -
LRF - 12.56
DeepPrior 19.73 9.42
Feedback 15.97 -
DeepModel 16.90 11.55
Lie-X 14.51 -
CrossingNet - 10.22
LSN - 8.20
CADSN 14.83 8.04

Result

quantity

Qualitative

qualitative

Citation

If you find the code is helpful for you, please kindly cite this paper in your publications:

@article{wu2018context,
  title={Context-Aware Deep Spatiotemporal Network for Hand Pose Estimation From Depth Images},
  author={Wu, Yiming and Ji, Wei and Li, Xi and Wang, Gang and Yin, Jianwei and Wu, Fei},
  journal={IEEE transactions on cybernetics},
  volume={50},
  number={2},
  pages={787--797},
  year={2018},
  publisher={IEEE}
}

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[TCYB2018] Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images

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