Feature tracking for visual servoing purposes

نویسندگان

  • Éric Marchand
  • François Chaumette
چکیده

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 ten years to achieve this goal.

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عنوان ژورنال:
  • Robotics and Autonomous Systems

دوره 52  شماره 

صفحات  -

تاریخ انتشار 2005