The analytical method for calculation of induction and inductive properties of conducting cylinder with azimuth density of rotational current has been proposed. The method permits: to calculate radial distributions of azimuth component for strength vector of rotational electric field, densities of whirling currents, specific heat rating, being emitted at the local area of conductor; to determine the dependence of average electro moving force (EMF) in the ring, inductive current and integral ohmic resistor from equivalent cavity’s radius of cylinder; on the base of energy considerations to calculate the inductance, being introduced by conducting cylinder. This calculation is executed for investigated electromagnetic fields, where the finite phase shift between the current and the flux exists. 
Estimations, executed for real conductors and semiconductors, point out to that the great values of inductance can be achieved at the low frequencies for materials with a small specific resistance. The small values of inductance can be achieved at the very high frequency (VHF) and extremely high frequency (EHF) for materials with a large specific resistance.  

Keywords: introduced inductance, induction, rotational electric field, alternating current, magnetic field flux

At present, the development of algorithms is particularly relevant high-level analysis of video sequences, including tracking of objects in a video stream and their implementation in information and communication systems. In the proposed approach the pretreatment step uses optical flow calculation for each frame video sequence, as well as low-level features (such as a representation of each pixel in the color space YIU). For moving objects optical flow is more important than for a stationary background and allows you to find the foreground objects in video sequences and adjust the weighting function in determining the histogram similar to the adjacent frames, taking into account the motion of objects.

Keywords: computer vision, tracker, tracking of object, optical flow, motion tracking