Forecasting Hands and Objects in Future Frames

@inproceedings{Fan2017ForecastingHA,
  title={Forecasting Hands and Objects in Future Frames},
  author={Chenyou Fan and Jangwon Lee and Michael S. Ryoo},
  booktitle={ECCV Workshops},
  year={2017}
}
This paper presents an approach to forecast future presence and location of human hands and objects. Given an image frame, the goal is to predict what objects will appear in the future frame (e.g., 5 seconds later) and where they will be located at, even when they are not visible in the current frame. The key idea is that (1) an intermediate representation of a convolutional object recognition model abstracts scene information in its frame and that (2) we can predict (i.e., regress) such… CONTINUE READING
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