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Estimating future human trajectories from sparse time series data.

Ryo KoyamaMeisaku SuzukiYusuke NakamuraTomohiro MimuraShin Ishiguro
Published in: HuMob-Challenge@SIGSPATIAL (2023)
Keyphrases
  • high dimensional
  • long term
  • sparse data
  • human subjects
  • temporal data
  • moving objects
  • neural network
  • real world
  • computer vision
  • case study
  • data analysis
  • human behavior
  • rigid body
  • current status
  • trajectory data