Improving motion estimation using image-driven functions and hybrid scheme

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

Abstract

We introduce an alternative method to improve optical flow estimation using image data for control functions. Base on the nature of object motion, we tune the energy minimization process with an image-adaptive scheme embedded inside the energy function. We propose a hybrid scheme to improve the quality of the flow field and we use it along with the multiscale approach to deal with large motion in the sequence. The proposed hybrid scheme take advantages from multigrid solver and the pyramid model. Our proposed method yields good estimation results and it shows the potential to improve the performance of a given model. It can be applied to other advanced models. By improving quality of motion estimation, various applications in intelligent systems are available such as gesture recognition, video analysis, motion segmentation, etc.

Original languageEnglish
Title of host publicationAdvances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings
Pages73-84
Number of pages12
EditionPART1
DOIs
StatePublished - 2011
Externally publishedYes
Event5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011 - Gwangju, Korea, Republic of
Duration: 20 Nov 201123 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART1
Volume7087 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
Country/TerritoryKorea, Republic of
CityGwangju
Period20/11/1123/11/11

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