Title: Trajectory classification using HMMs
Authors: Mlích, Jozef
Zemčík, Pavel
Jiřík, Leoš
Citation: WSCG '2009: Communication Papers Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 2 - 5, 2009, p. 67-72.
Issue Date: 2009
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2009/Papers_2009/!_WSCG2009_Short_final.zip
ISBN: 978-80-86943-94-7
Keywords: klasifikace trajektorie;směsi Gaussovských modelů;skryté Markovovské modely;video sekvence
Keywords in different language: trajectory classification;Gaussian mixture models;hidden Markov models;video sequences
Abstract: 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.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2009: Communication Papers Proceedings

Files in This Item:
File Description SizeFormat 
Mlich.pdfPlný text1,09 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11084

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.