Sequences, Structure, and Active Vision

Abstract

Sequences of symbols generated by a visual and action sequence provide information about the natural structure of the world. HMMs (hidden Markov models) provide one way to learn (recover), store, produce, manipulate, and analyze both visual sequences and associated knowledge structures for computer vision.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Rimey and Brown. "Sequences, Structure, and Active Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139791

Markdown

[Rimey and Brown. "Sequences, Structure, and Active Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/rimey1991cvpr-sequences/) doi:10.1109/CVPR.1991.139791

BibTeX

@inproceedings{rimey1991cvpr-sequences,
  title     = {{Sequences, Structure, and Active Vision}},
  author    = {Rimey, Raymond D. and Brown, Christopher M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {706-709},
  doi       = {10.1109/CVPR.1991.139791},
  url       = {https://mlanthology.org/cvpr/1991/rimey1991cvpr-sequences/}
}