Abstract
We propose a gyro-based
camera-motion detection method for videos captured with smartphones. First, the
delay between the acquisition of video and gyroscope data is estimated using
similarities induced by camera motion in the two sensor modalities. Pan, tilt
and shake are then detected using the dominant motions and high frequencies in
the gyroscope data. Morphological operations are applied to remove outliers and
to identify segments with continuous camera motion. We compare the proposed
method with existing methods that use visual or inertial sensor data.
S. Bano, A. Cavallaro, X. Parra, “Gyro-based
camera motion detection in user-generated videos,” in Proceedings of ACM Multimedia, Brisbane, October 26-30, 2015 pdf | poster
The multi-modal data used can be
found here