Detail publikace

Trajectory classification based on Hidden Markov Models

MLÍCH, J. CHMELAŘ, P.

Originální název

Trajectory classification based on Hidden Markov Models

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents a method for statistical modeling and classification of motion trajectories using Hidden Markov Models. Mass recordings from visual surveillance  are processed to extract objects trajectories. Hidden Markov Models of classes of behaviour are created upon some annotated trajectories. In this way, information about complex object behaviour of objects can be discovered. Additionally, an experiment shows the successful application of Hidden Markov Models on trajectories of people in an underground station in Roma. Finally, a comparison of efficiency on different data sets, is discussed.

Klíčová slova

HMM, Trajectory, Classification

Autoři

MLÍCH, J.; CHMELAŘ, P.

Rok RIV

2008

Vydáno

1. 9. 2008

Nakladatel

Lomonosov Moscow State University

Místo

Moscow

ISBN

978-5-9556-0112-0

Kniha

Proceedings of 18th International Conference on Computer Graphics and Vision

Strany od

101

Strany do

105

Strany počet

5

URL

http://www.graphicon.ru/2008/proceedings/English/S5/Paper_1.pdf

BibTex

@inproceedings{BUT32563,
  author="Jozef {Mlích} and Petr {Chmelař}",
  title="Trajectory classification based on Hidden Markov Models",
  booktitle="Proceedings of 18th International Conference on Computer Graphics and Vision",
  year="2008",
  pages="101--105",
  publisher="Lomonosov Moscow State University",
  address="Moscow",
  isbn="978-5-9556-0112-0",
  url="http://www.graphicon.ru/2008/proceedings/English/S5/Paper_1.pdf"
}