Geometric Context from Videos

@article{Raza2013GeometricCF,
  title={Geometric Context from Videos},
  author={S. Hussain Raza and Matthias Grundmann and Irfan A. Essa},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={3081-3088}
}
We present a novel algorithm for estimating the broad 3D geometric structure of outdoor video scenes. Leveraging spatio-temporal video segmentation, we decompose a dynamic scene captured by a video into geometric classes, based on predictions made by region-classifiers that are trained on appearance and motion features. By examining the homogeneity of the prediction, we combine predictions across multiple segmentation hierarchy levels alleviating the need to determine the granularity a priori… CONTINUE READING
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