Occlusion modeling by tracking multiple objects

Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke, Gerald Sommer

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

8 Scopus citations

Abstract

This article introduces a technique for region-based pose tracking of multiple objects. Our algorithm uses surface models of the objects to be tracked and at least one calibrated camera view, but does not require color, texture, or other additional properties of the objects. By optimizing a joint energy defined on the pose parameters of all objects, the proposed algorithm can explicitly handle occlusions between different objects. Tracking results in simulated as well as real world scenes demonstrate the effects of occlusion and how they are handled by the proposed method.

Original languageEnglish
Title of host publicationPattern Recognition - 29th DAGM Symposium, Proceedings
PublisherSpringer Verlag
Pages173-183
Number of pages11
ISBN (Print)3540749330, 9783540749332
DOIs
StatePublished - 2007
Externally publishedYes
Event29th Annual Symposium of the Deutsche Arbeitsgemeinschaft fur Mustererkennung, DAGM 2007 - Heidelberg, Germany
Duration: 12 Sep 200714 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4713 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th Annual Symposium of the Deutsche Arbeitsgemeinschaft fur Mustererkennung, DAGM 2007
Country/TerritoryGermany
CityHeidelberg
Period12/09/0714/09/07

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