Name
Abstract | ||
|---|---|---|
Tracking storms in radar images can be conceived of as a problem of tracking deformable objects. Our current relaxation labelling-based tracking algorithm that represents these deformable objects as “fuzzy” points can track objects that undergo shape deformations. One other type of deformation is the splitting of an object into multiple objects or the merging of multiple objects into one object from one image to the next. With our current algorithm, tracks are interrupted when such events happen in image sequences. We remove this deficiency of the current algorithm by adding the concept of a Pseudo Storm to its representational repertoire. With only minor modifications to the current algorithm, the new algorithm can track deformable objects that undergo both merging and splitting events. The new pseudo storm tracking algorithm outperforms our previous storm tracking algorithm for Great Lakes Doppler precipitation datasets. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CRV.2013.9 | CRV |
Keywords | Field | DocType |
fuzzy algebra,fuzzy set theory,storms,image representation,pseudo storm,splitting event,deformable object tracking,shape deformation,previous storm tracking algorithm,new pseudo storm tracking,fuzzy point,merging,relaxation labelling algorithm,current relaxation,current algorithm,multiple object,deformable object,tracking,object splitting,geophysical image processing,deformation,image sequence,object tracking,image sequences,great lakes doppler precipitation dataset,pseudo storm tracking algorithm,radar image,tracking severe,relaxation labelling-based tracking algorithm,new algorithm,doppler radar,radar imaging,deformable object representation,objects merging,representational repertoire,merging and splitting storms,labeling,ellipsoids,vectors,radar tracking | Computer vision,Doppler radar,Ellipsoid,Radar imaging,Radar tracker,Computer science,Fuzzy logic,Storm,Video tracking,Artificial intelligence,Relaxation labelling | Conference |
ISBN | Citations | PageRank |
978-1-4673-6409-6 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Zhang | 1 | 0 | 0.34 |
| Robert E. Mercer | 2 | 254 | 46.93 |
| John L. Barron | 3 | 183 | 27.32 |
| Paul Joe | 4 | 4 | 1.22 |