Real-Time Hand Tracking Under Occlusion from an Egocentric RGB-D Sensor

@article{Mueller2017RealTimeHT,
  title={Real-Time Hand Tracking Under Occlusion from an Egocentric RGB-D Sensor},
  author={Franziska Mueller and Dushyant Mehta and Oleksandr Sotnychenko and Srinath Sridhar and Dan Casas and Christian Theobalt},
  journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year={2017},
  pages={1284-1293}
}
We present an approach for real-time, robust and accurate hand pose estimation from moving egocentric RGB-D cameras in cluttered real environments. Existing methods typically fail for hand-object interactions in cluttered scenes imaged from egocentric viewpoints-common for virtual or augmented reality applications. Our approach uses two subsequently applied Convolutional Neural Networks (CNNs) to localize the hand and regress 3D joint locations. Hand localization is achieved by using a CNN to… CONTINUE READING

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