Detail publikace

Trajectory classification using HMMs

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"
}