Tracking as Repeated Figure/Ground Segmentation

@article{Ren2007TrackingAR,
  title={Tracking as Repeated Figure/Ground Segmentation},
  author={Xiaofeng Ren and Jitendra Malik},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-8}
}
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmenting figure from background. Accurate spatial support obtained in segmentation provides rich information about the track and enables reliable tracking of non-rigid objects without drifting. Figure/ground segmentation operates sequentially in each frame by utilizing both static image cues and temporal coherence cues, which… CONTINUE READING

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