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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Comaniciu, D. Ramesh, V. Meer, P. |
| Copyright Year | 2000 |
| Description | Author affiliation: Imaging & Visualization Dept., Siemens Corp. Res. Inc., Princeton, NJ, USA (Comaniciu, D.) |
| Abstract | A new method for real time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift iterations and finds the most probable target position in the current frame. The dissimilarity between the target model (its color distribution) and the target candidates is expressed by a metric derived from the Bhattacharyya coefficient. The theoretical analysis of the approach shows that it relates to the Bayesian framework while providing a practical, fast and efficient solution. The capability of the tracker to handle in real time partial occlusions, significant clutter, and target scale variations, is demonstrated for several image sequences. |
| Starting Page | 142 |
| Ending Page | 149 |
| File Size | 555932 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769506623 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2000.854761 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-06-15 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Target tracking Computational complexity Yield estimation Visualization Educational institutions Bayesian methods Image sequences Surveillance Monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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