Real-time disparity estimation using foreground segmentation for stereo sequences

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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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

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