Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning

@article{Wu2004RobustVT,
  title={Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning},
  author={Ying Wu and Thomas S. Huang},
  journal={International Journal of Computer Vision},
  year={2004},
  volume={58},
  pages={55-71}
}
Visual tracking can be treated as a parameter estimation problem that infers target states based on image observations from video sequences. A richer target representation may incur better chances of successful tracking in cluttered and dynamic environments, and thus enhance the robustness. Richer representations can be constructed by either specifying a detailed model of a single cue or combining a set of rough models of multiple cues. Both approaches increase the dimensionality of the state… CONTINUE READING
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