Freeze detection in 2D navigation video sequences by matching of extracted line segments

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Yammine G, Wige E, Simmet F, Niederkorn D, Kaup A
Publication year: 2012
Pages range: 55-60
ISBN: 9781467309929


Abstract


In this paper, we present an automated error/artifact detection framework that monitors the infotainment system of the car. Specifically, this paper focuses on the detection of freezing artifacts that could occur in the navigation system of the car during field tests. Knowing that the motion in the navigation system could also stop when the car stops, it is crucial to differentiate between this situation and a real freezing artifact. We propose an algorithm that reliably detects map jumps which occur after the freezing artifacts. The proposed algorithm extracts lines from the possibly frozen frame and the frame following the freeze event and matches the extracted lines together in order to output a geometric transformation matrix that describes the motion between both frames. If the motion is larger than normal, a map jump is detected and a freeze event is signaled. © 2012 IEEE.



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


How to cite

APA:
Yammine, G., Wige, E., Simmet, F., Niederkorn, D., & Kaup, A. (2012). Freeze detection in 2D navigation video sequences by matching of extracted line segments. (pp. 55-60). Istanbul, TR.

MLA:
Yammine, Gilbert, et al. "Freeze detection in 2D navigation video sequences by matching of extracted line segments." Proceedings of the 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012, Istanbul 2012. 55-60.

BibTeX: 

Last updated on 2018-19-04 at 03:34