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 in | 2012 19th IEEE International Conference on Image Processing pp. 1985 - 1988 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
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. |
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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 |
Author_xml | – sequence: 1 surname: Kuo-Hua Lo fullname: Kuo-Hua Lo organization: Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan – sequence: 2 surname: Jen-Hui Chuang 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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