Abstract : Object tracking is an important issue for research and application related to visual servoing and more generally for robot vision. In this paper, we address the problem of realizing visual servoing tasks on complex objects in real environments. We briefly present a set of tracking algorithms (2D features-based or motion-based tracking, 3D model-based tracking,...) that have been used for 10 years to achieve this goal.
Type de document :
Article dans une revue
Robotics and Autonomous Systems, Elsevier, 2005, 52 (1), pp.53-70
https://hal.inria.fr/inria-00351898
Contributeur : Eric Marchand
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Soumis le : lundi 12 janvier 2009 - 10:28:20
Dernière modification le : jeudi 15 novembre 2018 - 11:57:06
Document(s) archivé(s) le : mardi 8 juin 2010 - 19:27:56
E. Marchand, François Chaumette. Feature tracking for visual servoing purposes. Robotics and Autonomous Systems, Elsevier, 2005, 52 (1), pp.53-70. 〈inria-00351898〉
