Publication Details
Robust motion segmentation for on-line application
Beran Vítězslav, doc. Ing., Ph.D. (DCGM)
Motion segmentation, moving objects detection, KLT tracker, Voronoi tessellation.
This paper presents a novel approach for on-line video motion segmentation. Common methods were designed for off-line processing, where time to process one frame is not so important and varies from minutes to hours. The motivation of our work was an application in robotic perception, where a high computational speed is required. The main contribution of this work is an adaptation of existing methods to a higher computational speed and on-line processing. The proposed approach is based on sparse features, we utilized the KLT tracker to obtain their trajectories. A RANSAC-based method is used for initial motion segmentation, resulting motion groups are partitioned by a spatial-proximity constraints. The correspondence of motion groups across frames is solved by one-frame label propagation in forward and backward directions. Finally, an approximation of dense image segmentation is obtained by using the Voronoi tessellation.
@inproceedings{BUT91497,
author="Lukáš {Klicnar} and Vítězslav {Beran}",
title="Robust motion segmentation for on-line application",
booktitle="Proceedings of WSCG'12",
year="2012",
series="20th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2012 - Conference Proceedings",
pages="205--212",
publisher="University of West Bohemia in Pilsen",
address="Plzeň",
isbn="978-80-86943-79-4",
url="https://www.fit.vut.cz/research/publication/9988/"
}