Title :
Real-time motion estimation based on event-based vision sensor
Author :
Jun Haeng Lee ; Kyoobin Lee ; Hyunsurk Ryu ; Park, Paul K. J. ; Chang-Woo Shin ; Jooyeon Woo ; Jun-Seok Kim
Author_Institution :
SAIT, SEC, Yongin, South Korea
Abstract :
Fast and efficient motion estimation is essential for a number of applications including the gesture-based user interface (UI) for portable devices like smart phones. In this paper, we propose a highly efficient method that can estimate four degree of freedom (DOF) motional components of a moving object based on an event-based vision sensor, the dynamic vision sensor (DVS). The proposed method finds informative events occurred at edges and estimates their velocities for global motion analysis. We will also describe a novel method to correct the aperture problem in the motion estimation.
Keywords :
edge detection; estimation theory; image classification; image sensors; motion estimation; user interfaces; UI; aperture problem; edge pattern classification; event-based vision sensor; gesture-based user interface; global motion analysis; object edge motion estimation; Adaptive optics; Apertures; Computer vision; Dynamics; Image edge detection; Motion estimation; Voltage control; dynamic vision sensor; motion estimation;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025040