General video stabilization techniques which are digital, mechanical and optical are
discussed. Under the concept of video stabilization, various digital motion estimation
and motion correction algorithms are implemented. For motion estimation, in
addition to digital approach, a mechanical approach is implemented also. Then all
implemented motion estimation and motion correction algorithms are compared with
respect to their computational times and accuracies over various videos. For small
amount of jitter, digital motion estimation performs well in real time. But for big
amount of motion, digital motion estimation takes very long time so for these cases
mechanical motion estimation is preferred due to its speed in estimation although
digital motion estimation performs better. Thus, when mechanical motion estimation
is used first and then this estimate is used as the initial estimate for digital motion
estimation, the same accuracy as digital estimation is obtained in approximately the
same time as mechanical estimation. For motion correction Kalman and Fuzzy
filtering perform better than lowpass and moving average filtering.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12610172/index.pdf |
| Date | 01 December 2008 |
| Creators | Bayrak, Serhat |
| Contributors | Ulusoy, Ilkay |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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