Vision System for Relative Motion Estimation from Optical Flow
Sergey M. Sokolov, Andrey A. Boguslavsky, Felix A. Kuftin
For the recent years there was an increasing interest in different
methods of motion analysis based on visual data acquisition.
Vision systems, intended to obtain quantitative data regarding
motion in real time are especially in demand. This paper talks
about the vision systems that allow the receipt of information on
relative object motion in real time. It is shown, that the
algorithms solving a wide range of practical problems by
definition of relative movement can be generated on the basis of
the known algorithms of an optical flow calculation. One of the
system’s goals is the creation of economically efficient
intellectual sensor prototype in order to estimate relative objects
motion based on optic flow. The results of the experiments with
a prototype system model are shown.
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