Showing 2018 · cs.CVShow all
2 papers · 2 filters
cs.CV2018
Using phase instead of optical flow for action recognition
Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes +1
Currently, the most common motion representation for action recognition is optical flow. Optical flow is based on particle tracking which adheres to a Lagrangian perspective on dyn…
cs.CV2018
Featureless: Bypassing feature extraction in action categorization
Silvia L. Pintea, Pascal S. Mettes, Jan C. van Gemert +1
This method introduces an efficient manner of learning action categories without the need of feature estimation. The approach starts from low-level values, in a similar style to th…