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Publication detail
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" }