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Description
  • We introduce a new approach to trajectory modeling based on density estimation. First we estimate probability density function from all historian positions. To approximate this complicated distribution we use Gaussian mixture. Each trajectory can be then described as a sequence of Gaussian distributions according to historical data. This sequence is used to learn hidden Markov model (HMM). When we have this model we can classify trajectories into different types, predict further behavior or detect anomalous trajectories.
  • We introduce a new approach to trajectory modeling based on density estimation. First we estimate probability density function from all historian positions. To approximate this complicated distribution we use Gaussian mixture. Each trajectory can be then described as a sequence of Gaussian distributions according to historical data. This sequence is used to learn hidden Markov model (HMM). When we have this model we can classify trajectories into different types, predict further behavior or detect anomalous trajectories. (en)
Title
  • Probabilistic Trajectory Modeling
  • Probabilistic Trajectory Modeling (en)
skos:prefLabel
  • Probabilistic Trajectory Modeling
  • Probabilistic Trajectory Modeling (en)
skos:notation
  • RIV/68407700:21230/10:00170640!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 282100
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00170640
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Trajectory modeling, Gaussian mixture model, hidden Markov model. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E1CCE3BE795C]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • POSTER 2010 - Proceedings of the 14th International Conference on Electrical Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Urban, Štěpán
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze. Fakulta elektrotechnická
https://schema.org/isbn
  • 978-80-01-04544-2
http://localhost/t...ganizacniJednotka
  • 21230
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