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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gonzalez-Mora, J. Guil, N. Zapata, E.L. de la Torre, F. |
| Copyright Year | 2009 |
| Description | Author affiliation: Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA (de la Torre, F.) || Dept. of Comput. Archit., Univ. of Malaga, Malaga, Spain (Gonzalez-Mora, J.; Guil, N.; Zapata, E.L.) |
| Abstract | Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigen-tracking) are one of the most popular approaches to align templates with appearance variations (e.g. illumination, iconic changes). A number of well known tracking algorithms have been proposed in the last years to accurately fit these models to images. Computational efficiency is an important limitation in object tracking algorithms and different efficient techniques, such as the “projected-out” optimization, have been proposed. They reduce the computational cost using an efficient formulation in which many of the involved operations can be precomputed. On the other hand, alternative “simultaneous” algorithms jointly optimize pose and appearance parameters, providing better performance but increasing the computational cost. In this paper, we propose an algorithm for efficient linear appearance model fitting based on the inverse compositional simultaneous optimization of pose and appearance. We introduce a novel formulation which reduces the required computational time while maintaining similar convergence properties of previous “simultaneous” approaches. Experimental results illustrate the capabilities of this algorithm in face tracking. |
| Starting Page | 2230 |
| Ending Page | 2237 |
| File Size | 679649 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424439928 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2009.5206702 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational efficiency Lighting Convergence Jacobian matrices Computer architecture Robot vision systems Computer vision Application software Time factors Testing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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