Motion Estimation for Fisheye Video Sequences Combining Perspective Projection with Camera Calibration Information

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Eichenseer A, Bätz M, Kaup A
Editor(s): IEEE
Publication year: 2016
Conference Proceedings Title: Proceedings of the IEEE International Conference on Image Processing
Pages range: 4493-4497
ISBN: 978-1-4673-9961-6
ISSN: 2381-8549
Language: English


Abstract

Fisheye cameras prove a convenient means in surveillance and automotive applications as they provide a very wide field of view for capturing their surroundings. Contrary to typical rectilinear imagery, however, fisheye video sequences follow a different mapping from the world coordinates to the image plane which is not considered in standard video processing techniques. In this paper, we present a motion estimation method for real-world fisheye videos by combining perspective projection with knowledge about the underlying fisheye projection. The latter is obtained by camera calibration since actual lenses rarely follow exact models. Furthermore, we introduce a re-mapping for ultra-wide angles which would otherwise lead to wrong motion compensation results for the fisheye boundary. Both concepts extend an existing hybrid motion estimation method for equisolid fisheye video sequences that decides between traditional and fisheye block matching in a block-based manner. Compared to that method, the proposed calibration and re-mapping extensions yield gains of up to 0.58 dB in luminance PSNR for real-world fisheye video sequences. Overall gains amount to up to 3.32 dB compared to traditional block matching.


FAU Authors / FAU Editors

Bätz, Michel
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Eichenseer, Andrea
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Eichenseer, A., Bätz, M., & Kaup, A. (2016). Motion Estimation for Fisheye Video Sequences Combining Perspective Projection with Camera Calibration Information. In IEEE (Eds.), Proceedings of the IEEE International Conference on Image Processing (pp. 4493-4497). Phoenix, Arizona, US.

MLA:
Eichenseer, Andrea, Michel Bätz, and André Kaup. "Motion Estimation for Fisheye Video Sequences Combining Perspective Projection with Camera Calibration Information." Proceedings of the IEEE International Conference on Image Processing, Phoenix, Arizona Ed. IEEE, 2016. 4493-4497.

BibTeX: 

Last updated on 2019-18-04 at 18:23