@inproceedings{d57b94152aa04f9d903ac6decf9da6f5,
title = "Efficient line tracker in the parameter space based on one-to-one hough transform",
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.",
keywords = "Hough transform, Line tracking, Real-time, Video analysis",
author = "Zoetgnande, \{Yannick Wend Kuni\} and Antoine Manzanera",
note = "Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 ; Conference date: 27-01-2018 Through 29-01-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.5220/0006620401740180",
language = "English",
series = "VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
publisher = "SciTePress",
pages = "174--180",
editor = "Alain Tremeau and Francisco Imai and Jose Braz",
booktitle = "VISAPP",
}