Temporal synchronization in mobile sensor networks using image sequence analysis.
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Date
2014
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Abstract
This paper addresses the problem of estimating
the temporal synchronization inmobile sensors’ networks, by
using image sequence analysis of their corresponding scene
dynamics. Unlike existing methods, which are frequently
based on adaptations of techniques originally designed for
wired networks with static topologies, or even based on solutions
specially designed for ad hoc wireless sensor networks,
but that have a high energy consumption and a low scalability
regarding the number of sensors, this work proposes a
novel approach that reduces the problem of synchronizing a
general number N of sensors to the robust estimation of a
single line in RN+1. This line captures all temporal relations
between the sensors and can be computed without any prior
knowledge of these relations. It is assumed that (1) the network’s
mobile sensors cross the field of view of a stationary
calibrated camera that operates with constant frame rate and
(2) the sensors trajectories are estimated with a limited error
at a constant sampling rate, both in the world coordinate system
and in the camera’s image plane. Experimental results
with real-world and synthetic scenarios demonstrate that our
method can be successfully used to determine the temporal
alignment in mobile sensor networks.
Description
Keywords
Mobile sensor networks, Temporal alignment, Visual object tracking, Random sample consensus
Citation
BRITO, D. N. de; PÁDUA, F. L. C.; PEREIRA, G. A. S. Temporal synchronization in mobile sensor networks using image sequence analysis. Machine Vision and Applications, v. 25, p. 1067-1076, 2014. Disponível em: <https://link.springer.com/article/10.1007/s00138-014-0605-6>. Acesso em: 02 out. 2017.