Name
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 |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/CVPR.1991.139666 | CVPR |
Keywords | Field | DocType |
computer vision,computerised pattern recognition,computerised picture processing,predictor-corrector methods,dynamic image sequence,feature paths,hybrid tracking algorithm,motion analysis,multiple feature positions,optimizing exchange algorithm,partial trajectories,predictor algorithm,real-world scenes,trajectory-based methods,layout,hybrid algorithm,trajectory,prediction algorithms,tracking | Computer vision,Hybrid algorithm,Pattern recognition,Computer science,Algorithm,Artificial intelligence,Motion analysis,Image sequence,Trajectory | Conference |
Volume | Issue | ISSN |
1991 | 1 | 1063-6919 |
Citations | PageRank | References |
7 | 1.23 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. J. Fletcher | 1 | 9 | 2.68 |
| Kevin Warwick | 2 | 129 | 21.37 |
| Mitchell, R.J. | 3 | 7 | 1.23 |