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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hung-Chang Chang Shang-Hong Lai Kuang-Rong Lu |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Hung-Chang Chang; Shang-Hong Lai) |
| Abstract | The acquisition of digital video usually suffers from undesirable camera jitter due to unstable random camera motion, which is produced by a hand-held camera or a camera in a vehicle moving on a non-smooth road or terrain. We propose a real-time robust video stabilization algorithm to remove undesirable motion jitter and produce a stabilized video. We first compute the optical flow between successive frames, followed by estimating the camera motion by fitting the computed optical flow field to a simplified affine motion model with a trimmed least squares method. Then, the computed camera motions are smoothed temporally to reduce the motion vibrations by using a regularization method. Finally, we transform all frames of the video based on the original and smoothed motions to obtain a stabilized video. Experimental results are given to demonstrate the stabilization performance and the efficiency of the proposed algorithm. |
| Starting Page | 29 |
| Ending Page | 32 |
| File Size | 309122 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780386035 |
| DOI | 10.1109/ICME.2004.1394117 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Optical computing Image motion analysis Optical filters Digital cameras Motion estimation Jitter Flowcharts Least squares approximation Computer science |
| Content Type | Text |
| Resource Type | Article |
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