| 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 conferenceObject |
| URI: | http://wscg.zcu.cz/WSCG2009/Papers_2009/!_WSCG2009_Short_final.zip http://hdl.handle.net/11025/11084 |
| 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 |
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