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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" }