Region-based parametric motion segmentation using color information

Date

1998-01-01

Author

Altunbasak, Y
Eren, Pekin Erhan
Tekalp, AM

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper presents pixel-based and region-based parametric motion segmentation methods for robust motion segmentation with the goal of aligning motion boundaries with those of real objects in a scene. We first describe a two-step iterative procedure for parametric motion segmentation by either motion-vector or motion-compensated intensity matching. We next present a region-based extension of this method, whereby all pixels within a predefined spatial region are assigned the same motion label. These predefined regions may be fixed-or variable-size blocks or arbitrary-shaped areas defined by color or texture uniformity. A particular combination of these pixel-based and region-based methods is then proposed as a complete algorithm to obtain the best possible segmentation results on a variety of image sequences. Experimental results showing the benefits of the proposed scheme are provided. (C) 1998 Academic Press.

URI

https://hdl.handle.net/11511/100894

Journal

GRAPHICAL MODELS AND IMAGE PROCESSING

DOI

https://doi.org/10.1006/gmip.1997.0453

Collections

Graduate School of Informatics, Article

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Citation Formats

Y. Altunbasak, P. E. Eren, and A. Tekalp, “Region-based parametric motion segmentation using color information,” GRAPHICAL MODELS AND IMAGE PROCESSING, vol. 60, no. 1, pp. 13–23, 1998, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100894.