• Corpus ID: 3539576

Adaptive Visual Face Tracking for an Autonomous Robot

@inproceedings{Darmstadt2011AdaptiveVF,
  title={Adaptive Visual Face Tracking for an Autonomous Robot},
  author={Tu Darmstadt},
  year={2011}
}
Perception is an essential ability for autonomous robots in non-standardized conditions. However, the appearance of objects can change between different conditions. A system visually tracking a target based on its appearance could lose its target in those cases. A tracker learning the appearance of the target in different conditions should perform better at this task. To learn reliably, the system needs feedback. In this study, feedback is provided by a secondary teacher system that trains the… 

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