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Video Stabilization and Rolling Shutter Correction using Inertial Measurement Sensors
Linköping University, Department of Electrical Engineering, Computer Vision.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Gyrobaserad videostabilisering och korrektion för rullande slutare (Swedish)
Abstract [en]

Most mobile video-recording devices of today, e.g. cell phones and music players, make use of a rolling shutter camera. A rolling shutter camera captures video by recording every frame line-by-line from top to bottom of the image, leading to image distortions in situations where either the device or the target is moving. Recording video by hand also leads to visible frame-to-frame jitter.

In this thesis, methods to decrease distortion caused by the motion of a video-recording device with a rolling shutter camera are presented. The methods are based on estimating the orientation of the camera from gyroscope and accelerometer measurements.

The algorithms are implemented on the iPod Touch 4, and the resulting videos are compared to those of competing stabilization software, both commercial and free, in a series of blind experiments. The results from this user study shows that the methods presented in the thesis perform equal to or better than the others.

Abstract [sv]

Mobiltelefoner, mp3-spelare och andra bärbara enheter som kan spela in film har ofta en kamera med rullande slutare. En sådan kamera fångar varje bild rad för rad, från topp till botten. Detta resulterar i distortion i bilden om antingen enheten eller objekt i bilden rör sig. Att filma för hand introducerar också skakighet i filmen.

I det här examensarbetet presenteras metoder för att minska den distortion som uppstår till följd av att en enhet med rullande slutare förflyttas under inspelning av en film. Metoderna bygger på estimering av kamerans orientering, utgående från mätdata från gyroskop och accelerometer.

Algoritmerna har implementerats på en iPod Touch 4 och de resulterande filmerna har jämförts med de från konkurrerande program i en serie blindtester. Resultaten från denna undersökning visar att metoderna som presenteras i examensarbetet är lika bra eller bättre än de övriga.

Place, publisher, year, edition, pages
2011. , 48 p.
Keyword [en]
Rolling Shutter, Video Stabilization, Inertial Measurement Sensor
Keyword [sv]
rullande slutare, videostabilisering
National Category
Computer Vision and Robotics (Autonomous Systems) Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-68792ISRN: LiTH-ISY-EX--11/4464--SEOAI: oai:DiVA.org:liu-68792DiVA: diva2:420914
Subject / course
Computer Vision Laboratory
Presentation
2011-06-01, Algoritmen, 10:15 (Swedish)
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-06-14 Created: 2011-06-07 Last updated: 2011-06-14Bibliographically approved

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