Authors:
Yannick Wend Kuni Zoetgnande
1
and
Antoine Manzanera
2
Affiliations:
1
Université de Rennes 1, France
;
2
ENSTA ParisTech and Universite de Paris Saclay, France
Keyword(s):
Video Analysis, Line Tracking, Real-time, Hough Transform.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Image and Video Coding and Compression
;
Image Formation and Preprocessing
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Shape Representation and Matching
;
Tracking and Visual Navigation
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.