A Novel Similarity-Invariant Line Descriptor and Matching Algorithm for Fast and Robust Global Motion Estimation in Navigation Video Sequences

Journal article


Publication Details

Author(s): Yammine G, Wige E, Simmet F, Niederkorn D, Kaup A
Journal: IEEE Transactions on Circuits and Systems For Video Technology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication year: 2014
Volume: 24
Journal issue: 8
Pages range: 1323-1335
ISSN: 1051-8215


Abstract


We present a new and fast line descriptor and matching algorithm to geometrically register video frames that are deformed by a similarity transformation and contain line segments but with very low texture details, such as navigation maps. Line segments are extracted from the frames, and each line is described with a novel line descriptor that does not depend on pixel intensities. The described lines are then matched together and the matches are input to an outlier removal algorithm in order to estimate the parameters of the transformation describing the global motion between the frames. We propose a method for fast parameter estimation of the transformation using line segments instead of points. Additionally, we apply this algorithm in the testing and error detection context of navigation systems, in which we show how to detect map jump artifacts that could occur during the development of these systems, leading to a jerky and unsmooth motion between the frames. The proposed descriptor and its matching algorithm are shown to be fast enough for online use and very robust against a wide range of translation, rotation, and scale changes. Furthermore, the error detection algorithm allows to detect almost all map jump artifacts while maintaining a very low number of false alarms.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Wige, Eugen
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Yammine, Gilbert
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
Audi AG


How to cite

APA:
Yammine, G., Wige, E., Simmet, F., Niederkorn, D., & Kaup, A. (2014). A Novel Similarity-Invariant Line Descriptor and Matching Algorithm for Fast and Robust Global Motion Estimation in Navigation Video Sequences. IEEE Transactions on Circuits and Systems For Video Technology, 24(8), 1323-1335. https://dx.doi.org/10.1109/TCSVT.2014.2302874

MLA:
Yammine, Gilbert, et al. "A Novel Similarity-Invariant Line Descriptor and Matching Algorithm for Fast and Robust Global Motion Estimation in Navigation Video Sequences." IEEE Transactions on Circuits and Systems For Video Technology 24.8 (2014): 1323-1335.

BibTeX: 

Last updated on 2018-08-08 at 12:53