Visual Vehicle Egomotion Estimation using the Fourier-Mellin
Transform
Authors: Roland Göcke, Akshay Asthana, Niklas Pettersson, and
Lars Petersson
Presented by Niklas Pettersson at the 2007 IEEE Intelligent Vehicles
Symposium IV'07, Istanbul, Turkey, 13-15 June 2007. IEEE.
Abstract
This paper is concerned with the problem of estimating the motion of a
single camera from a sequence of images, with an application scenario
of vehicle egomotion estimation. Egomotion estimation has been an active
area of research for many years and various solutions to the problem
have been proposed. Many methods rely on optical flow or local image
features to establish the spatial relationship between two images. A new
method of egomotion estimation is presented which makes use of the
Fourier-Mellin Transform for registering images in a video sequence,
from which the rotation and translation of the camera motion can be
estimated. The Fourier-Mellin Transform provides an accurate and efficient
way of computing the camera motion parameters. It is a global method that
takes the contributions from all pixels into account. The performance of
the proposed approach is compared to two variants of optical flow methods
and results are presented for a real-world video sequence taken from a
moving vehicle.
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Bibtex Entry
@INPROCEEDINGS{goecke_asthana_pettersson_petersson2007,
AUTHOR = {R. Goecke and A. Asthana and N. Pettersson and L. Petersson},
TITLE = {{Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform}},
BOOKTITLE = {{Proceedings of the 2007 IEEE Intelligent Vehicles Symposium IV'07}},
PUBLISHER = {IEEE},
ADDRESS = {Istanbul, Turkey},
VOLUME = ,
PAGES = {450--455},
MONTH = jun,
YEAR = 2007}
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