Robust 3D segmentation of multiple moving objects under weak perspective

Levente Hajder, Dmitry Chetverikov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A scene containing multiple independently moving, possibly occluding, rigid objects is considered under the weak perspective camera model. We obtain a set of feature points tracked across a number of frames and address the problem of 3D motion segmentation of the objects in presence of measurement noise and outliers. We extend the robust structure from motion (SfM) method [5] to 3D motion segmentation and apply it to realistic, contaminated tracking data with occlusion. A number of approaches to 3D motion segmentation have already been proposed [3,6,14,15]. However, most of them were not developed for, and tested on, noisy and outlier-corrupted data that often occurs in practice. Due to the consistent use of robust techniques at all critical steps, our approach can cope with such data, as demonstrated in a number of tests with synthetic and real image sequences.

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
Pages48-59
Number of pages12
DOIs
Publication statusPublished - Dec 1 2007
Event2nd International Workshop on Dynamical Vision, WDV 2006 - 9th European Conference on Computer Vision,(ECCV 2006) - Graz, Austria
Duration: May 13 2006May 13 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

Other

Other2nd International Workshop on Dynamical Vision, WDV 2006 - 9th European Conference on Computer Vision,(ECCV 2006)
CountryAustria
CityGraz
Period5/13/065/13/06

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hajder, L., & Chetverikov, D. (2007). Robust 3D segmentation of multiple moving objects under weak perspective. In Dynamical Vision - ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers (pp. 48-59). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4358 LNCS). https://doi.org/10.1007/978-3-540-70932-9_4