Publication detail

Trajectory classification based on Hidden Markov Models

MLÍCH, J. CHMELAŘ, P.

Original Title

Trajectory classification based on Hidden Markov Models

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

HMM, Trajectory, Classification

Authors

MLÍCH, J.; CHMELAŘ, P.

RIV year

2008

Released

1. 9. 2008

Publisher

Lomonosov Moscow State University

Location

Moscow

ISBN

978-5-9556-0112-0

Book

Proceedings of 18th International Conference on Computer Graphics and Vision

Pages from

101

Pages to

105

Pages count

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"
}