Authors:
Carlos Andres Arango
;
Olivier Alata
;
Rémi Emonet
;
Anne-Claire Legrand
and
Hubert Konik
Affiliation:
Univ. Lyon, UJM-Saint-Etienne, CNRS and Institut d Optique Graduate School, France
Keyword(s):
Subtle Motion, Temporal Spotting, Riesz Pyramid, Quaternion Representation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Video Surveillance and Event Detection
Abstract:
Analyzing and temporally spotting motions which are almost invisible to the human eye might reveal interesting
information about the world. However, detecting these events is difficult due to their short duration and
low intensities. Taking inspiration from video magnification techniques, we design a workflow for analyzing
and temporally spotting subtle motions based on the Riesz pyramid. In addition, we propose a filtering and
masking scheme that segments motions of interest without producing undesired artifacts or delays. In order to
be able to evaluate the spotting accuracy of our method, we introduce our own database containing videos of
subtle motions. Experiments are carried out under different types and levels of noise. Finally, we show that
our method is able to outperform other state of the art methods in this challenging task.