Online video registration of dynamic scenes using frame prediction

Alex Rav-Acha*, Yael Pritch, Shmuel Peleg

*Corresponding author for this work

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

1 Scopus citations

Abstract

An online approach is proposed for Video registration of dynamic scenes, such as scenes with dynamic textures, moving objects, motion parallax, etc. This approach has three steps: (i) Assume that a few frames are already registered. (ii) Using the registered frames, the next frame is predicted. (iii) A new video frame is registered to the predicted frame. Frame prediction overcomes the bias introduced by dynamics in the scene, even when dynamic objects cover the majority of the image. It can also overcome many systematic changes in intensity, and the "brightness constancy" is replaced with "dynamic constancy". This predictive online approach can also be used with motion parallax, where non uniform image motion is caused by camera translation in a 3D scene with large depth variations. In this case a method to compute the camera ego motion is described.

Original languageEnglish
Title of host publicationDynamical Vision - ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers
Pages151-164
Number of pages14
DOIs
StatePublished - 2007
Event2nd International Workshop on Dynamical Vision, WDV 2006 - 9th European Conference on Computer Vision,(ECCV 2006) - Graz, Austria
Duration: 13 May 200613 May 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4358 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Dynamical Vision, WDV 2006 - 9th European Conference on Computer Vision,(ECCV 2006)
Country/TerritoryAustria
CityGraz
Period13/05/0613/05/06

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