Measuring Image Flow by Tracking Edge-Lines
Abstract
This paper describes a technique for measuring the movement of edge-lines in a sequence of images by maintalning an image plane model. Edge-lines are expressed as a set of parameter vectors representing the center-point, orientation and length of a segment. Each parameter vector is composed of an estimate, a temporal derivative, and their covariance matrix. Line segment parameters in the flow model are updated using a Kalman filter. The eorrespondance of observed edge-lines segments to segments predicted from the flow model is determined by a linear complexity algorithm using distance normalized by covariance. The existence of segments in the flow model is controlled using a confidence factor. This technique is in everyday use as part of a larger system for building 3-D scene descriptions using a camera mounted on a robot arm. A near video-rate hardware implementation is currently under development
Cite
Text
Crowley et al. "Measuring Image Flow by Tracking Edge-Lines." IEEE/CVF International Conference on Computer Vision, 1988. doi:10.1109/CCV.1988.590047Markdown
[Crowley et al. "Measuring Image Flow by Tracking Edge-Lines." IEEE/CVF International Conference on Computer Vision, 1988.](https://mlanthology.org/iccv/1988/crowley1988iccv-measuring/) doi:10.1109/CCV.1988.590047BibTeX
@inproceedings{crowley1988iccv-measuring,
title = {{Measuring Image Flow by Tracking Edge-Lines}},
author = {Crowley, James L. and Stelmaszyk, Patrick and Discours, Christophe},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1988},
pages = {658-664},
doi = {10.1109/CCV.1988.590047},
url = {https://mlanthology.org/iccv/1988/crowley1988iccv-measuring/}
}