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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martinez, B. Ferraz, L. Binefa, X. Diaz-Caro, J. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. Autonoma de Barcelona, Spain (Martinez, B.; Ferraz, L.; Binefa, X.) |
| Abstract | In tracking tasks, representing a target region as a weighted histogram has opened possibilities which led to excellent results, as mean shift or camshift algorithms. This representation is extracted from the image by giving weights with kernels and it depends on the properties of the kernels. By a first order Taylor approximation of the histograms it is possible to perform a tracking using several kernels, interpreted as different sources of information. This representation improves the possibilities and gives more flexibility when facing problems of tracking, as occlusions, model variance or projective deformations of the image. In this paper we use this multi-kernel model representation to perform a simultaneous tracking of the entire object and also of each different part individually. This is performed in a new two-step process. In the first step we perform the multikernel estimation and in a second step we update the model representation taking into account single kernel estimations, representing the local movement of each part. From a probabilistic view of the Matusita metric we analyze the usefulness of this method against partial occlusions and some projective transformations like zooms or 3D rotations and articulated movements. |
| Starting Page | 2785 |
| Ending Page | 2788 |
| File Size | 4177538 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424404800 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2006.313125 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Histograms Target tracking Object detection Computer science Data mining Information resources Deformable models Focusing Infrared imaging Infrared Imagery Tracking Multiple Kernels |
| Content Type | Text |
| Resource Type | Article |
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