Live Demonstration: Joint Estimation of Optical Flow and Intensity Image from Event Sensors

CVPRW 2019 pp. 1676-1677

doi:10.1109/CVPRW.2019.00211 /cvprw/2019/shedligeri2019cvprw-live/

Abstract

This demonstration will show a deep learning based method to predict intensity images and optical flow from an event based sensor. The deep neural network is trained to take in as input a sequence of event frames and output a sequence of intensity images corresponding to the event frames and the optical flow between successive event frames. This setup will allow visitors to see that neural network based methods can be utilized for processing event sequence efficiently.

CVPRW Semantic Scholar

Cite

Text

Shedligeri and Mitra. "Live Demonstration: Joint Estimation of Optical Flow and Intensity Image from Event Sensors." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019. doi:10.1109/CVPRW.2019.00211

Markdown

[Shedligeri and Mitra. "Live Demonstration: Joint Estimation of Optical Flow and Intensity Image from Event Sensors." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.](https://mlanthology.org/cvprw/2019/shedligeri2019cvprw-live/) doi:10.1109/CVPRW.2019.00211

BibTeX

@inproceedings{shedligeri2019cvprw-live,
  title     = {{Live Demonstration: Joint Estimation of Optical Flow and Intensity Image from Event Sensors}},
  author    = {Shedligeri, Prasan A. and Mitra, Kaushik},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2019},
  pages     = {1676-1677},
  doi       = {10.1109/CVPRW.2019.00211},
  url       = {https://mlanthology.org/cvprw/2019/shedligeri2019cvprw-live/}
}