Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
MLÍCH, J. ZEMČÍK, P. JIŘÍK, L.
Originální název
Trajectory classification using HMMs
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
This paper focuses on evaluation of motion of objects through classification of their trajectories. The objects used for evaluation of the presented method are objects tracked in video sequence but the method is quite general and can be used for more general trajectories. The main potential application of the presented method is detection of abnormal behavior of humans, hand gesture detection and recognition, etc. Hidden Markov Models (HMMs) and Gaussian Mixture Models are used as the base of the the classification mechanism. The paper contains description of the method, description of experiments and their results, and conclusions.
Klíčová slova
Trajectory classification, Gaussian Mixture Models, Hidden Markov models, video sequences
Autoři
MLÍCH, J.; ZEMČÍK, P.; JIŘÍK, L.
Rok RIV
2009
Vydáno
20. 5. 2009
Nakladatel
University of West Bohemia in Pilsen
Místo
Plzeň
ISBN
978-80-86943-94-7
Kniha
WSCG 2009 Communication Papers
Strany od
67
Strany do
72
Strany počet
6
BibTex
@inproceedings{BUT33723, author="Jozef {Mlích} and Pavel {Zemčík} and Leoš {Jiřík}", title="Trajectory classification using HMMs", booktitle="WSCG 2009 Communication Papers", year="2009", pages="67--72", publisher="University of West Bohemia in Pilsen", address="Plzeň", isbn="978-80-86943-94-7" }