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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fadaeieslam, M.J. Fathy, M. Soryani, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of computer engineering, Iran University of Science & Technology, Tehran, Iran (Fadaeieslam, M.J.; Fathy, M.; Soryani, M.) |
| Abstract | A video sequence consists of several hundred frames and as a result creating a panoramic image from these frames is a very time consuming process. Consecutive frames have large overlap areas which do not provide much information. Therefore, some key frames must be extracted for better performance. There are a number of methods for key frame selection, which match all frames in a video sequence. In this paper, we present a novel and efficient method to select key frames from video for creating a large panoramic mosaic without matching all frames. A Kalman filter is used to predict the overlap area between each frame and its previous key frame. It predicts the trajectory of each frame corner to estimate its position in a common mosaic surface. It is shown that this approach substantially reduces the time required to construct panorama from a video sequence. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1832607 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424446568 |
| DOI | 10.1109/ICICS.2009.5397678 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Video sequences Computational efficiency Java Data mining Trajectory Image registration Kalman filters Filtering Image matching video mosaicing key frame Kalman filter |
| Content Type | Text |
| Resource Type | Article |
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