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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fletcher, M.J. Warwick, K. Mitchell, R. |
| Copyright Year | 1991 |
| Description | Author affiliation: Dept. of Cybern., Reading Univ., UK (Fletcher, M.J.; Warwick, K.; Mitchell, R.) |
| Abstract | An algorithm for tracking multiple feature positions in a dynamic image sequence is presented. This is achieved using a combination of two trajectory-based methods, with the resulting hybrid algorithm exhibiting the advantages of both. An optimizing exchange algorithm is described which enables short feature paths to be tracked without prior knowledge of the motion being studied. The resulting partial trajectories are then used to initialize a fast predictor algorithm which is capable of rapidly tracking multiple feature paths. As this predictor algorithm becomes tuned to the feature positions being tracked, it is shown how the location of occluded or poorly detected features can be predicted. The results of applying this tracking algorithm to data obtained from real-world scenes are then presented.< |
| Starting Page | 84 |
| Ending Page | 89 |
| File Size | 451208 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818621486 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1991.139666 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-06-03 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tracking Motion analysis Layout Optimization methods Image sequences Motion measurement Velocity measurement Trajectory Prediction algorithms Equations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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