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Optical Engineering

Scene segmentation using a combined criterion of motion and intensity
Author(s): Si-Woong Lee; Jae Gark Choi; Seong-Dae Kim
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Paper Abstract

An image segmentation algorithm for segmentation-based video sequence coding is presented. The method uses a new criterion based on similarities in both motion and brightness. Brightness and motion information are incorporated in a single segmentation procedure. The actual segmentation is accomplished using a region-growing technique based on the watershed algorithm. It comprises the processes of extracting the initial regions called seeds and their growing by merging similar neighboring pixels. In addition, a tracking technique is used in subsequent frames to achieve a coherent segmentation through time. Simulation results show that the proposed method is effective in determining object boundaries not easily found using the static criterion alone.

Paper Details

Date Published: 1 August 1997
PDF: 7 pages
Opt. Eng. 36(8) doi: 10.1117/1.601463
Published in: Optical Engineering Volume 36, Issue 8
Show Author Affiliations
Si-Woong Lee, Korean Advanced Institute of Science and Technolog (South Korea)
Jae Gark Choi, Kyungil Univ. (South Korea)
Seong-Dae Kim, Korea Advanced Institute of Science and Technology (South Korea)


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