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Proceedings Paper

Feature point selection for object-based motion estimation on a programmable device
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Paper Abstract

Recently, we reported on a recursive algorithm enabling real-time object-based motion estimation (OME) for standard definition video on a digital signal processor (DSP). The algorithm approximates the motion of objects in the image with parametric motion models and creates a segmentation mask by assigning the best matching model to image parts on a block-by-block basis. A parameter estimation module determines the parameters of the motion models on a small fraction of the pictorial data called feature points. In this paper, we propose a new, computationally very efficient, feature point selection method that improves the convergence of the motion parameter estimation process.

Paper Details

Date Published: 4 January 2002
PDF: 11 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453112
Show Author Affiliations
Rimmert Wittebrood, Philips Research Labs. (Netherlands)
Gerard de Haan, Philips Research Labs. (Netherlands)


Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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