Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

@article{Gonzlez2015SpatiotemporalSS,
  title={Spatiotemporal Stacked Sequential Learning for Pedestrian Detection},
  author={Alejandro Gonz{\'a}lez and David V{\'a}zquez and Sebastian Ramos and A. M. L{\'o}pez and J. Amores},
  journal={ArXiv},
  year={2015},
  volume={abs/1407.3686}
}
  • Alejandro González, David Vázquez, +2 authors J. Amores
  • Published 2015
  • Computer Science
  • ArXiv
  • Pedestrian classifiers decide which image windows contain a pedestrian. In practice, such classifiers provide a relatively high response at neighbor windows overlapping a pedestrian, while the responses around potential false positives are expected to be lower. An analogous reasoning applies for image sequences. If there is a pedestrian located within a frame, the same pedestrian is expected to appear close to the same location in neighbor frames. Therefore, such a location has chances of… CONTINUE READING
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