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Real-time disparity estimation using foreground segmentation for stereo sequences

Real-time disparity estimation using foreground segmentation for stereo sequences
Real-time disparity estimation using foreground segmentation for stereo sequences
We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information i 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 interframe 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/s for x 320 × 240 stereo sequences on an ordinary PC.
Adaptive window, Foreground segmentation, Real-time disparity estimation, Stereo matching, Algorithms, Image processing, Image segmentation, Motion compensation, Pattern matching, Real time systems, Video cameras, Stereo vision
0091-3286
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Min, D.B.
23dd9162-cd16-48d2-8e1c-fc2ab9957c2d
Choi, S.
99f5c190-34cd-4f6a-be7b-3c188648c3f7
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Min, D.B.
23dd9162-cd16-48d2-8e1c-fc2ab9957c2d
Choi, S.
99f5c190-34cd-4f6a-be7b-3c188648c3f7
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff

Kim, H., Min, D.B., Choi, S. and Sohn, K. (2006) Real-time disparity estimation using foreground segmentation for stereo sequences. Optical Engineering, 45 (3), [037402]. (doi:10.1117/1.2183667).

Record type: Article

Abstract

We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information i 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 interframe 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/s for x 320 × 240 stereo sequences on an ordinary PC.

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More information

Published date: March 2006
Additional Information: Cited By :7 Export Date: 30 April 2020 CODEN: OPEGA
Keywords: Adaptive window, Foreground segmentation, Real-time disparity estimation, Stereo matching, Algorithms, Image processing, Image segmentation, Motion compensation, Pattern matching, Real time systems, Video cameras, Stereo vision

Identifiers

Local EPrints ID: 439846
URI: http://eprints.soton.ac.uk/id/eprint/439846
ISSN: 0091-3286
PURE UUID: 57d4dc6e-8a07-4a08-89bf-aad0065987a5
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

Catalogue record

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

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