Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform

Roland Goecke; Arkshay Asthana; Niklas Pettersson; Lars Petersson

doi:10.1109/IVS.2007.4290156

Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform

Roland Goecke, Arkshay Asthana, Niklas Pettersson, Lars Petersson

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

40 Citations (Scopus)

43 Downloads (Pure)

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

Original language	English
Title of host publication	Proceedings of the 2007 IEEE Intelligent Vehicles Symposium IV
Editors	Urbano Nunes
Place of Publication	Australia
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	450-455
Number of pages	6
ISBN (Print)	9781424410675
DOIs	https://doi.org/10.1109/IVS.2007.4290156
Publication status	Published - 2007
Event	2007 IEEE Intelligent Vehicles Symposium IV - Istanbul, Istanbul, Turkey Duration: 13 Jun 2007 → 15 Jun 2007

Conference

Conference	2007 IEEE Intelligent Vehicles Symposium IV
Country/Territory	Turkey
City	Istanbul
Period	13/06/07 → 15/06/07

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10.1109/IVS.2007.4290156

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Cite this

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title = "Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform",

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",

author = "Roland Goecke and Arkshay Asthana and Niklas Pettersson and Lars Petersson",

year = "2007",

doi = "10.1109/IVS.2007.4290156",

language = "English",

isbn = "9781424410675",

pages = "450--455",

editor = "Urbano Nunes",

booktitle = "Proceedings of the 2007 IEEE Intelligent Vehicles Symposium IV",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2007 IEEE Intelligent Vehicles Symposium IV ; Conference date: 13-06-2007 Through 15-06-2007",

}

Goecke, R, Asthana, A, Pettersson, N & Petersson, L 2007, Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform. in U Nunes (ed.), Proceedings of the 2007 IEEE Intelligent Vehicles Symposium IV. IEEE, Institute of Electrical and Electronics Engineers, Australia, pp. 450-455, 2007 IEEE Intelligent Vehicles Symposium IV, Istanbul, Turkey, 13/06/07. https://doi.org/10.1109/IVS.2007.4290156

Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform. / Goecke, Roland; Asthana, Arkshay; Pettersson, Niklas et al.
Proceedings of the 2007 IEEE Intelligent Vehicles Symposium IV. ed. / Urbano Nunes. Australia: IEEE, Institute of Electrical and Electronics Engineers, 2007. p. 450-455.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform

AU - Goecke, Roland

AU - Asthana, Arkshay

AU - Pettersson, Niklas

AU - Petersson, Lars

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N2 - 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

AB - 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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DO - 10.1109/IVS.2007.4290156

M3 - Conference contribution

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BT - Proceedings of the 2007 IEEE Intelligent Vehicles Symposium IV

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Australia

T2 - 2007 IEEE Intelligent Vehicles Symposium IV

Y2 - 13 June 2007 through 15 June 2007

ER -

Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform

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