passalis / rl_camera_control

Deep Reinforcement Learning for Camera Control

Deep Reinforcement Learning for Controlling Frontal Person Close-up Shooting

This repository contains an implementation of the Deep RL method proposed in Deep Reinforcement Learning for Controlling Frontal Person Close-up Shooting.

If you use this code in your work please cite the following paper:

@article{passalis2019deep,
  title={Deep reinforcement learning for controlling frontal person close-up shooting},
  author={Passalis, Nikolaos and Tefas, Anastasios},
  journal={Neurocomputing},
  volume={335},
  pages={37--47},
  year={2019}
}

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Acknolwegment

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731667 (MULTIDRONE). This publication reflects the authors’ views only. The European Commission is not responsible for any use that may be made of the information it contains.