Visual Tracking of Moving Objects using a Neural Network Controller
| Autor: | Frans C. A. Groen, G. Schram, Ben Kröse, F.X. van der Linden |
|---|---|
| Přispěvatelé: | Amsterdam Machine Learning lab (IVI, FNWI) |
| Rok vydání: | 1996 |
| Předmět: |
Artificial neural network
Computer science business.industry General Mathematics Feed forward Robotics Tracking (particle physics) Object (computer science) Computer Science Applications Control and Systems Engineering Control theory Eye tracking Feedforward neural network Computer vision Artificial intelligence Manipulator business Software |
| Zdroj: | Robotics and Autonomous Systems, 18, 293-299. Elsevier |
| ISSN: | 0921-8890 |
| Popis: | For a target tracking task, the hand-held camera of the anthropomorphic OSCAR-robot manipulator has to track an object which moves arbitrarily on a table. The desired camera-joint mapping is approximated by a feedforward neural network. Through the use of time derivatives of the position of the object and of the manipulator, the controller can inherently predict the next position of the moving target object. In this paper several ‘anticipative” controllers are described, and successfully applied to track a moving object. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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