Feature point selection for object-based motion estimation on a Programmable Device

R.B. Wittebrood, G. Haan, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2002, San Jose, CA, USA
Place of PublicationBellingham
PublisherSPIE
Pages687-697
DOIs
Publication statusPublished - 2002
EventVisual Communications and Image Processing 2002 (VCIP 2002), January 20-25, 2002, San Jose, CA, USA - San Jose, CA, United States
Duration: 20 Jan 200225 Jan 2002

Publication series

NameProceedings of SPIE
Volume4671
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing 2002 (VCIP 2002), January 20-25, 2002, San Jose, CA, USA
Abbreviated titleVCIP 2002
CountryUnited States
CitySan Jose, CA
Period20/01/0225/01/02
OtherViual Communications and Image Processing 2002

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