Abstract
Urgency of the research. Modern trends in the development of video surveillance systems focus on the creation of automatic functional complexes with intelligence. Detection of the areas of motion in a frame is a fundamental problem of these systems. Therefore, there is a need to create software that detects areas of motion in the frame.Target setting. By developing such systems, developers have to solve the contradiction between the computational complexity of processing algorithms, the quality of images created and the hardware capabilities of modern computing. The multidimensional nature of video information (coordinates, color) imposes significant limitations on the speed and quality of its processing. In addition, motion detection on mobile cameras is complicated due to constant background change.Actual scientific researches and issues analysis. The latest open access publications, including optical streaming technology and the SURF algorithm, were considered.Uninvestigated parts of general matters defining. Increasing the speed of existing methods of detecting traffic zones on the video of low quality.The research objective. Improvement of the method of detecting motion using non-static cameras or cameras with PTZ function in the direction of accelerating its operation.The statement of basic materials. Detection zone of motion in the scene comes with standard libraries openCV. To determine the zone of motion, a pair of sequential frames are used: the previous one - the object, the current one - the scene. Forming contours of objects occurs by constructing the corresponding histograms.Conclusions. The proposed method allows twice accelerating the process of detecting traffic zones by the given video of non-static cameras.
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