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Method for Selecting Objects in Images Obtained from Unmanned Aerial Vehicles

The problem of semi-automatic object extraction for visual scene images was solved. The possibility of implementation of a model-free approach to object extraction using low-level image segmentation methods was demonstrated. The analysis of drawbacks of the basic methods for image segmentation, that limit their application in the developed automatic tracking algorithm of the video stream processing system for unmanned aerial vehicles (UAVs) was conducted. The algorithm for extracting an object in the image by superpixel merging was proposed. The testing results with real and synthetic images for the proposed algorithm were presented.