Hands by hand: Crowd-sourced motion tracking for gesture annotation

@article{Spiro2010HandsBH,
  title={Hands by hand: Crowd-sourced motion tracking for gesture annotation},
  author={Ian Spiro and Geoffrey Taylor and George Williams and Christoph Bregler},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops},
  year={2010},
  pages={17-24}
}
We describe a method for using crowd-sourced labor to track motion and ultimately annotate gestures of humans in video. Our chosen platform for deployment, Amazon Mechanical Turk, divides labor into HITs (Human Intelligence Tasks). Given the informational density of video, our task is potentially larger than a traditional HIT that involves processing a… CONTINUE READING