Motion Segmentation via Global and Local Sparse Subspace Optimization

@article{Yang2017MotionSV,
  title={Motion Segmentation via Global and Local Sparse Subspace Optimization},
  author={Michael Ying Yang and Hanno Ackermann and Weiyao Lin and Sitong Feng and Bodo Rosenhahn},
  journal={CoRR},
  year={2017},
  volume={abs/1701.06944}
}
In this paper, we propose a new framework for segmenting feature-based moving objects under affine subspace model. Since the feature trajectories in practice are highdimensional and contain a lot of noise, we firstly apply the sparse PCA to represent the original trajectories with a lowdimensional global subspace, which consists of the orthogonal sparse principal vectors. Subsequently, the local subspace separation will be achieved via automatically searching the sparse representation of the… CONTINUE READING
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