Title: | Applying filters to repeating motion based trajectories for video classification |
Authors: | Ayyildiz, Kahraman Conrad, Stefan |
Citation: | WSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 25-31. |
Issue Date: | 2015 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2015/CSRN-2502.pdf http://hdl.handle.net/11025/29662 |
ISBN: | 978-80-86943-66-4 |
ISSN: | 2464-4617 |
Keywords: | rozpoznávání akce;klasifikace videa;opakování pohybu;frekvenční vlastnosti;filtr;okluze |
Keywords in different language: | action recognition;video classification;repeating motion;frequency feature;filter;occlusion |
Abstract: | The presented video classification system is based on the trajectory of repeating motion in video scenes. Further on this trajectory has a certain direction and velocity at each time frame. As the position, direction and velocity of the motion trajectory evolve in time, we consider these as motion functions. Later on we transform these functions by FFT and receive frequency domains, which then represent the frequencies of repeating motion. Moreover these frequencies serve as features during classification phase. Our current work focuses on filtering the functions based on the motion’s trajectory in order to reduce noise and emphasize significant parts. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2015: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Ayyildiz.pdf | Plný text | 698,65 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29662
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