Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

@article{Brox2011LargeDO,
  title={Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation},
  author={Thomas Brox and Jitendra Malik},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2011},
  volume={33},
  pages={500-513}
}
Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse-to-fine warping schemes have somehow relaxed this constraint, there is an inherent dependency between the scale of structures and the velocity that can be estimated. This particularly renders the estimation of detailed human motion problematic, as small body parts can move very fast. In this paper, we present a way to approach this problem by integrating rich descriptors into the variational… CONTINUE READING
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