Extended Kalman Filtering Approach to Stereo Video Stabilization
Refereed conference paper presented and published in conference proceedings


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AbstractProcessing of stereo images has become more and more important in recent years because of the availability of various stereo displaying devices. In particular, stabilizing of stereo images is important and useful especially when the images are obtained from cameras held by inexperienced hands or placed on unstable platforms. In this paper, we propose a new frame warping method for such a problem. Most video stabilization methods to date use 2-D geometric transform to approximate the changes between frames. However, these methods fail when there is a large depth variation between the foreground and the background in the scene. We try to solve this by estimating the 3-D motion parameters of the cameras by tri-focal tensor and the Extended Kalman filter. And use the motion parameters to stabilize the images. We test the method using synthetic and real images and the results show that the Performance of our proposed method is accurate even if the background contains large relative depth Variations.
All Author(s) ListLee KK, Wong KH, Chang MMY, Yu YK, Leung MK
Name of Conference19th International Conference on Pattern Recognition (ICPR 2008)
Start Date of Conference08/12/2008
End Date of Conference11/12/2008
Place of ConferenceTampa
Country/Region of ConferenceUnited States of America
Year2008
Month1
Day1
PublisherIEEE
Pages3470 - 3473
ISBN978-1-4244-2174-9
ISSN1051-4651
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence

Last updated on 2020-28-11 at 00:52