Applying filters to repeating motion based trajectories for video classification
Date issued
2015
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
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.
Description
Subject(s)
rozpoznávání akce, klasifikace videa, opakování pohybu, frekvenční vlastnosti, filtr, okluze
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.