Real-world visual statistics and infants' first-learned object names

@article{Clerkin2017RealworldVS,
  title={Real-world visual statistics and infants' first-learned object names},
  author={Elizabeth M. Clerkin and Elizabeth Hart and James M. Rehg and Chen Yu and Linda B. Smith},
  journal={Philosophical Transactions of the Royal Society B: Biological Sciences},
  year={2017},
  volume={372}
}
We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes. [] Key Method Images from head camera video captured by 8 1/2 to 10 1/2 month-old infants at 147 at-home mealtime events were analysed for the objects in view. The images were found to be highly cluttered with many different objects in view. However, the frequency distribution of object categories was extremely right skewed such that a very small set of…

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