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Real-time stereo using foreground segmentation and hierarchical disparity estimation

Real-time stereo using foreground segmentation and hierarchical disparity estimation
Real-time stereo using foreground segmentation and hierarchical disparity estimation
We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information is calculated in an initialization step so that only disparities of moving object regions are updated in the main process. We propose a real-time segmentation technique using background subtraction and inter-frame differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching windows. Experimental results show that the proposed algorithm provides accurate disparity vector fields with an average processing speed of 15 frames/sec for 320×240 stereo sequences on a common PC. © Springer-Verlag Berlin Heidelberg 2005.
Adaptive systems, Algorithms, Cameras, Estimation, Hierarchical systems, Image segmentation, Information analysis, Object oriented programming, Stereophonic broadcasting, Vectors, Background disparity information, Hierarchical disparity estimations, Real-time segmentation techniques, Real-time stereo, Real time systems
0302-9743
3767
Springer-Verlag Lecture Notes in Computer Science
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Min, D.B.
23dd9162-cd16-48d2-8e1c-fc2ab9957c2d
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Min, D.B.
23dd9162-cd16-48d2-8e1c-fc2ab9957c2d
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff

Kim, H., Min, D.B. and Sohn, K. (2005) Real-time stereo using foreground segmentation and hierarchical disparity estimation (Lecture Notes in Computer Science, , (doi:10.1007/11581772_34), 3767, 3767), vol. 3767, Springer-Verlag Lecture Notes in Computer Science, 12pp.

Record type: Book

Abstract

We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information is calculated in an initialization step so that only disparities of moving object regions are updated in the main process. We propose a real-time segmentation technique using background subtraction and inter-frame differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching windows. Experimental results show that the proposed algorithm provides accurate disparity vector fields with an average processing speed of 15 frames/sec for 320×240 stereo sequences on a common PC. © Springer-Verlag Berlin Heidelberg 2005.

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More information

Published date: 2005
Additional Information: Cited By :2 Export Date: 30 April 2020
Keywords: Adaptive systems, Algorithms, Cameras, Estimation, Hierarchical systems, Image segmentation, Information analysis, Object oriented programming, Stereophonic broadcasting, Vectors, Background disparity information, Hierarchical disparity estimations, Real-time segmentation techniques, Real-time stereo, Real time systems

Identifiers

Local EPrints ID: 439845
URI: http://eprints.soton.ac.uk/id/eprint/439845
ISSN: 0302-9743
PURE UUID: d977e54a-9ecb-43f2-bff9-d3491ad5fbc7
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

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Date deposited: 05 May 2020 16:31
Last modified: 23 May 2020 00:47

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