Optical Flow from 1d Correlation: Application to a Simple Time-to-Crash Detector
Abstract
The authors show that a new technique exploiting 1-D correlation of 2-D or even 1-D patches between successive frames may be sufficient to compute a satisfactory estimation of the optical flow field. The algorithm is well-suited to VLSI implementation. The sparse measurements provided by the technique can be used to compute qualitative properties of the flow for a number of different visual tasks. In particular, a method is described to combine the 1-D correlation technique with a scheme for detecting expansion or rotation (T. Poggio et al., 1991) in a simple algorithm which also suggests interesting biological implications. The algorithm provides a rough estimate of time-to-crash. It was tested on real image sequences. Its performance is discussed and the results are compared to previous approaches.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Ancona and Poggio. "Optical Flow from 1d Correlation: Application to a Simple Time-to-Crash Detector." IEEE/CVF International Conference on Computer Vision, 1993. doi:10.1109/ICCV.1993.378218Markdown
[Ancona and Poggio. "Optical Flow from 1d Correlation: Application to a Simple Time-to-Crash Detector." IEEE/CVF International Conference on Computer Vision, 1993.](https://mlanthology.org/iccv/1993/ancona1993iccv-optical/) doi:10.1109/ICCV.1993.378218BibTeX
@inproceedings{ancona1993iccv-optical,
title = {{Optical Flow from 1d Correlation: Application to a Simple Time-to-Crash Detector}},
author = {Ancona, Nicola and Poggio, Tomaso A.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1993},
pages = {209-214},
doi = {10.1109/ICCV.1993.378218},
url = {https://mlanthology.org/iccv/1993/ancona1993iccv-optical/}
}