In article questions of nonlinear interaction of acoustic waves in the air environment in the course of distribution are considered. Is shown that the nonlinearity coefficient in the air environment considerably exceeds that in water therefore generation of secondary waves in the air environment is more effective than in water. The main characteristics of interaction pay off. For realization of the parametrical antenna for information transfer the narrow beam offers to use as converters in the rating antenna high-frequency loudspeakers with high sensitivity in the radiation mode. For reduction of level of side petals in the characteristic of an orientation of the antenna of a rating are given the recommendation about an arrangement of converters in the antenna of a rating and to their coordination with Wednesday by means of acoustic loud-hailers. As initial parameters for calculations passport data of loudspeakers get out. Characteristics of the parametrical antenna at its arrangement in air streams are analyzed. Interaction of waves in a stream is described by the non-uniform wave equation in which the member from a convective derivative estimates influence of a stream. Are considered the non-uniform equations for various working out the resultant generated signal the parametrical antenna in the environment with an air stream. Expressions for calculation of additives to the signals generated in a homogeneous environment for distribution of waves of a stream perpendicular and parallel to the direction are removed. It is shown that the air stream in a near zone of the antenna of a rating increases amplitude of the secondary waves generated by nonlinear interaction. Recommendations about use of the parametrical antenna for information transfer in the air environment are made.

Keywords: parametrical antenna, air environment, rating converter, air stream, wave equation

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

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