| Full text | |
| Author(s): |
Total Authors: 2
|
| Affiliation: | [1] INRIA Sophia Antipolis, F-06902 Sophia Antipolis - France
[2] CTI Renato Archer, BR-13069901 Campinas, SP - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF COMPUTER VISION; v. 89, n. 1, p. 84-105, AUG 2010. |
| Web of Science Citations: | 22 |
| Abstract | |
The fundamental task of visual tracking is considered in this work as an incremental direct image registration problem. Direct methods refer to those that exploit the pixel intensities without resorting to image features. We propose new transformation models and optimization methods for directly and robustly registering images (including color ones) of rigid and deformable objects, all in a unified manner. We also show that widely adopted models are in fact particular cases of the proposed ones. Indeed, the proposed general models combine various classes of image warps and ensure robustness to generic lighting changes. Finally, the proposed optimization method together with the exploitation of all possible image information allow the algorithm to achieve high levels of accuracy. Extensive experiments are reported to demonstrate that visual tracking can indeed be highly accurate and robust despite deforming objects and severe illumination changes. (AU) | |