Corpus ID: 152282601

Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure

@article{Judd2019OcclusionRobustMM,
  title={Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure},
  author={Kevin M. Judd and J. Gammell},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.05121}
}
  • Kevin M. Judd, J. Gammell
  • Published 2019
  • Engineering, Computer Science
  • ArXiv
  • Visual motion estimation is an integral and well-studied challenge in autonomous navigation. Recent work has focused on addressing multimotion estimation, which is especially challenging in highly dynamic environments. Such environments not only comprise multiple, complex motions but also tend to exhibit significant occlusion. Previous work in multiple object tracking focuses on maintaining the integrity of object tracks but usually relies on specific appearance-based descriptors or… CONTINUE READING

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