Efficient Line Tracker in the Parameter Space based on One-to-one Hough Transform

Yannick Wend Kuni Zoetgnande, Antoine Manzanera

2018

Abstract

We propose a new method for line detection and tracking in videos in real-time. It is based on an optimised version of the dense Hough transform, that computes, via one-to-one projection, an accumulator in the polar parameter space using the gradient direction in the grayscale image. Our method then performs mode (cluster) tracking in the Hough space, using prediction and matching of the clusters based on both their position and appearance. The implementation takes advantage of the high performance video processing library Video++, that allows to parallelise simply and efficiently many video primitives.

Paper Citation

in Harvard Style

Zoetgnande Y. and Manzanera A. (2018). Efficient Line Tracker in the Parameter Space based on One-to-one Hough Transform. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 174-180. DOI: 10.5220/0006620401740180

in Bibtex Style

@conference{visapp18,
author={Yannick Wend Kuni Zoetgnande and Antoine Manzanera},
title={Efficient Line Tracker in the Parameter Space based on One-to-one Hough Transform},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={174-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006620401740180},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Efficient Line Tracker in the Parameter Space based on One-to-one Hough Transform
SN - 978-989-758-290-5
AU - Zoetgnande Y.
AU - Manzanera A.
PY - 2018
SP - 174
EP - 180
DO - 10.5220/0006620401740180
PB - SciTePress