@inproceedings{85a88745fc9f4bab93ecb5fb879e4cf9,
title = "Feature point selection for object-based motion estimation on a Programmable Device",
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. ",
author = "R.B. Wittebrood and {Haan, de}, G.",
year = "2002",
doi = "10.1117/12.453112",
language = "English",
series = "Proceedings of SPIE",
publisher = "SPIE",
pages = "687--697",
booktitle = "Visual Communications and Image Processing 2002, San Jose, CA, USA",
address = "United States",
note = "Visual Communications and Image Processing 2002 (VCIP 2002), January 20-25, 2002, San Jose, CA, USA, VCIP 2002 ; Conference date: 20-01-2002 Through 25-01-2002",
}