FIELD: physics.
SUBSTANCE: invention relates to methods of automatic detection of objects using a computer vision system installed on an unmanned aerial vehicle (UAV). Method includes steps of receiving frames from a video stream received from a camera of the UAV to a computing device, determining an offset of the current frame of the video stream relative to the previous processed frame in pixels, determining the size and position of the tracking window on the current frame, processing a fragment of the frame inside the tracking window by means of a neural network for detecting objects, determining the position of the objects detected in the fragment in the full frame. Further, determining the displacement in the frame of previously detected objects, which are inside the frame, but do not fall into the current tracking window by adding to the coordinates detected at the previous stages of processing objects, displacements in pixels between frames, and outputting the detection result.
EFFECT: high accuracy of detecting small-sized objects and objects.
6 cl, 4 dwg
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Authors
Dates
2024-04-16—Published
2023-09-20—Filed