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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Naito, M. Matsumoto, K. Hoashi, K. Sugaya, F. |
| Copyright Year | 2006 |
| Description | Author affiliation: KDDI R&D Lab., Saitama (Naito, M.; Matsumoto, K.; Hoashi, K.; Sugaya, F.) |
| Abstract | In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described. In this method, a telop (video caption) removal method, iterative foreground and background image separation method and appropriate frame pair selection from consecutive frames are introduced to generate background images accurately. Parameters indicating the location of each frame on the background image are retrieved and used to detect the camera motion. Except for the simple threshold-based method, a method using hidden Markov models (HMMs) is introduced to detect variable length camera motion based on the maximum likelihood criterion. The effectiveness of the proposed method is evaluated by using a TRECVID 2005 low-level feature extraction task |
| Starting Page | 1741 |
| Ending Page | 1744 |
| File Size | 173703 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424403667 |
| DOI | 10.1109/ICME.2006.262887 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-09 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Motion detection Feature extraction Image generation Hidden Markov models Maximum likelihood detection Image motion analysis Maximum likelihood estimation Image analysis Optical distortion |
| Content Type | Text |
| Resource Type | Article |
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