View-invariant measure of line correspondence and its application in people localization

A correspondence measure of 2D line segments in two different views is proposed in this paper. Such a quantitative measure is view-invariant and can handle line segment of arbitrary configuration in the 3D scene. A line-based people localization scheme is proposed by applying such a measure to impro...

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Published in2012 19th IEEE International Conference on Image Processing pp. 1985 - 1988
Main Authors Kuo-Hua Lo, Jen-Hui Chuang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
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Abstract A correspondence measure of 2D line segments in two different views is proposed in this paper. Such a quantitative measure is view-invariant and can handle line segment of arbitrary configuration in the 3D scene. A line-based people localization scheme is proposed by applying such a measure to improve the efficiency of [1]. By verifying whether 2D line samples from different views belong to the same person, computations associated with incorrectly reconstructed 3D line samples of people can be avoided. Experimental results show that people localization results, in terms of correctness and accuracy, comparable to [1] can be obtained with the proposed scheme, but with more than three times in computation speed.
AbstractList A correspondence measure of 2D line segments in two different views is proposed in this paper. Such a quantitative measure is view-invariant and can handle line segment of arbitrary configuration in the 3D scene. A line-based people localization scheme is proposed by applying such a measure to improve the efficiency of [1]. By verifying whether 2D line samples from different views belong to the same person, computations associated with incorrectly reconstructed 3D line samples of people can be avoided. Experimental results show that people localization results, in terms of correctness and accuracy, comparable to [1] can be obtained with the proposed scheme, but with more than three times in computation speed.
Author Jen-Hui Chuang
Kuo-Hua Lo
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  fullname: Jen-Hui Chuang
  organization: Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
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Snippet A correspondence measure of 2D line segments in two different views is proposed in this paper. Such a quantitative measure is view-invariant and can handle...
SourceID ieee
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StartPage 1985
SubjectTerms Accuracy
Cameras
Educational institutions
Image reconstruction
Legged locomotion
Line correspondence
line feature
multi-camera
people localization
Visualization
VSLAM
Title View-invariant measure of line correspondence and its application in people localization
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