A multi-camera view stabilization strategy

Kolja Kühnlenz, Martin Buss

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

Abstract

A novel camera view direction stabilization strategy based on a multi-camera vision system is proposed. Relative motion information of an observed target with respect to the camera system is acquired by at least two cameras: a tracking and a stabilizing camera. The stabilizing camera provides a velocity contribution to the tracking camera motion controlled by visual servoing. Thereby, a significant reduction of the tracking error is achieved. The proposed strategy is evaluated in simulations and experiments based on a novel multi-focal vision system designed for the humanoid LOLA.

Original languageEnglish
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages5303-5308
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: 9 Oct 200615 Oct 2006

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Conference

Conference2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Country/TerritoryChina
CityBeijing
Period9/10/0615/10/06

Fingerprint

Dive into the research topics of 'A multi-camera view stabilization strategy'. Together they form a unique fingerprint.

Cite this