Name
Abstract | ||
|---|---|---|
An object tracking method based on position estimation across multiple cameras is proposed in this paper. For an object which is exiting a former view and entering in a latter, Kalman filter is used to predict the position in the next frame, and the reference region where the object will be observed in the latter view is obtained through a camera model. The object detected in the reference region is the correspondent object and the experiments show its validity. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FSKD.2007.450 | FSKD (3) |
Keywords | Field | DocType |
correspondent object,kalman filter,former view,kalman filters,object tracking method,camera model,latter view,position estimation,object tracking,tracking,cameras,object detection,key words,reference region,multiple cameras | Object detection,Computer vision,Pattern recognition,Computer science,Kalman filter,Video tracking,Artificial intelligence,Reference Region | Conference |
Volume | ISBN | Citations |
3 | 978-0-7695-2874-8 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingna Deng | 1 | 2 | 0.74 |
| Hong Zhu | 2 | 0 | 0.34 |
| Gang Li | 3 | 63 | 5.82 |
| and Ruirui Ji | 4 | 0 | 0.34 |