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Evaluation of online hardware video stabilization on a moving platform
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Utvärdering av hårdvarustabilisering av video i realtid på rörlig plattform (Swedish)
Abstract [en]

Recording a video sequence with a camera during movement often produces blurred results. This is mainly due to motion blur which is caused by rapid movement of objects in the scene or the camera during recording. By correcting for changes in the orientation of the camera, caused by e.g. uneven terrain, it is possible to minimize the motion blur and thus, produce a stabilized video.

In order to do this, data gathered from a gyroscope and the camera itself can be used to measure the orientation of the camera. The raw data needs to be processed, synchronized and filtered to produce a robust estimate of the orientation. This estimate can then be used as input to some automatic control system in order to correct for changes in the orientation

This thesis focuses on examining the possibility of such a stabilization. The actual stabilization is left for future work. An evaluation of the hardware as well as the implemented methods are done with emphasis on speed, which is crucial in real time computing.

Abstract [sv]

En videosekvens som spelas in under rörelse blir suddig. Detta beror främst på rörelseoskärpa i bildrutorna orsakade av snabb rörelse av objekt i scenen eller av kameran själv. Genom att kompensera för ändringar i kamerans orientering, orsakade av t.ex. ojämn terräng, är det möjligt att minimera rörelseoskärpan och på så sätt stabilisera videon.

För att åstadkomma detta används data från ett gyroskop och kameran i sig för att skatta kamerans orientering. Den insamlade datan behandlas, synkroniseras och filtreras för att få en robust skattning av orienteringen. Denna orientering kan sedan användas som insignal till ett reglersystem för att kompensera för ändringar i kamerans orientering.

Denna avhandling undersöker möjligheten för en sådan stabilisering. Den faktiska stabiliseringen lämnas till framtida arbete. Hårdvaran och de implementerade metoderna utvärderas med fokus på beräkningshastighet, som är kritiskt inom realtidssystem.

Place, publisher, year, edition, pages
2013. , 44 p.
Keyword [en]
video stabilization, computer vision, sensor fusion, orientation estimation
National Category
Embedded Systems
URN: urn:nbn:se:liu:diva-98990ISRN: LiTH-ISY-EX--13/4723--SEOAI: diva2:656064
Subject / course
Computer Vision Laboratory
2013-10-09, Algoritmen, Linköping, 10:15 (Swedish)
Available from: 2013-10-30 Created: 2013-10-14 Last updated: 2013-10-30Bibliographically approved

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Gratorp, Eric
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