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

Rimmert Wittebrood; Gerard de Haan

doi:10.1117/12.453112

4 January 2002 Feature point selection for object-based motion estimation on a programmable device

Rimmert Wittebrood, Gerard de Haan

Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453112
Event: Electronic Imaging, 2002, San Jose, California, United States

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.

Citation Download Citation

Rimmert Wittebrood and Gerard de Haan "Feature point selection for object-based motion estimation on a programmable device", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453112

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