Transferring Objects: Joint Inference of Container and Human Pose

@article{Wang2017TransferringOJ,
  title={Transferring Objects: Joint Inference of Container and Human Pose},
  author={Hanqing Wang and Wei Liang and Lap-Fai Yu},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={2952-2960}
}
Transferring objects from one place to another place is a common task performed by human in daily life. During this process, it is usually intuitive for humans to choose an object as a proper container and to use an efficient pose to carry objects; yet, it is non-trivial for current computer vision and machine learning algorithms. In this paper, we propose an approach to jointly infer container and human pose for transferring objects by minimizing the costs associated both object and pose… CONTINUE READING

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