Presentation 2003/1/27
A new motion estimation method based on correspondence of hough parameters
Masahide NAEMURA, Masaki TAKAHASHI, Toshihiko MISU, Yoshinori IZUMI,
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Abstract(in English) Global motion estimation is one of important research issues in a computer vision field and opens a way to advanced video processing such as video codec, robot vision and object detection. Most of the methods to achieve motion parameters rely on statistical image-based matching. Recently there arise the sensor fusion based methods in which camera measurement technology helps estimating motion parameters. In this paper, we propose a new motion estimation method that takes explicit advantage of salient geometric image feature correspondence. The image features are lines existing in the image and are detected by Hough transform. In the proposed method, computation is carried out mainly on transformed hough space. It drastically decreases difficulties in performing line correspondence. The method is validated through simulation experiments.
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Keyword(in English) Motion estimation / Hough transform / Line correspondence
Paper # ITS2002-58,IE2002-199
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Committee ITS
Conference Date 2003/1/27(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A new motion estimation method based on correspondence of hough parameters
Sub Title (in English)
Keyword(1) Motion estimation
Keyword(2) Hough transform
Keyword(3) Line correspondence
1st Author's Name Masahide NAEMURA
1st Author's Affiliation Science and Technical Research Laboratories,NHK()
2nd Author's Name Masaki TAKAHASHI
2nd Author's Affiliation Science and Technical Research Laboratories,NHK
3rd Author's Name Toshihiko MISU
3rd Author's Affiliation Science and Technical Research Laboratories,NHK
4th Author's Name Yoshinori IZUMI
4th Author's Affiliation Science and Technical Research Laboratories,NHK
Date 2003/1/27
Paper # ITS2002-58,IE2002-199
Volume (vol) vol.102
Number (no) 629
Page pp.pp.-
#Pages 6
Date of Issue