Dense Optical Flow Prediction from a Static Image

@article{Walker2015DenseOF,
  title={Dense Optical Flow Prediction from a Static Image},
  author={Jacob Walker and Abhinav Gupta and Martial Hebert},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={2443-2451}
}
Given a scene, what is going to move, and in what direction will it move? Such a question could be considered a non-semantic form of action prediction. In this work, we present a convolutional neural network (CNN) based approach for motion prediction. Given a static image, this CNN predicts the future motion of each and every pixel in the image in terms of optical flow. Our CNN model leverages the data in tens of thousands of realistic videos to train our model. Our method relies on absolutely… CONTINUE READING

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