The searching algorithms and identification of reference points for aircraft

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This work is devoted to the development of a new system of search and identification unmanned vehicle using a machine vision system, namely its takeoff and flight in offline mode.This article discusses the problem of automatic aerial target recognition based on of the digital filtering streaming video and questions of informative signature formation. Machine vision systems are used for the treatment and recognition of different images obtained from a camera. A vision system is a means of tracking, monitoring and automatic decision-making in certain situations. The survey conducted a series of tests monitoring and identification of the flight, with the aim of finding his contour lines and the development of targeted algorithms to create software module tracking aircraft. The main objective of the search algorithm and identification of air targets, there is a search for the reference point of the desired geometric object. To find the sought point of the contour, the used to group of digital filters for three channels of streaming video. To solve this problem, we used digital filters: Gauss filter, the local filter, the median filter, Sobel filter, the binary filter. The model includes the algorithm for finding reference points and allows us to identify specific geometric features (attributes) in real time. On the basis of mathematical modeling in Matlab algorithm for search and identification software module was created in the language C ++ DetectorScanAir, which tracks moving objects in the frame via WebCam Sony.