The present invention discloses a method for determining a target through intelligent following of an unmanned aerial vehicle. The method includes: obtaining an image returned by an unmanned aerial vehicle; obtaining, according to a click of a user on the image returned by the unmanned aerial vehicle, a region picture in which the user is interested; loading a deep learning network model, inputting the obtained region picture to the deep learning network model, and outputting, by using the deep learning network model, a plurality of candidate circumscribed frames for framing targets in the region picture and probabilities that the targets in the candidate circumscribed frames belong to preset categories; and determining, according to the candidate circumscribed frames and the probabilities that the targets in the candidate circumscribed frames belong to the preset categories, whether a target image exists in the region picture. The present invention has a small calculation amount, a short operation time, and low requirements on hardware devices.
METHOD FOR DETERMINING TARGET THROUGH INTELLIGENT FOLLOWING OF UNMANNED AERIAL VEHICLE, UNMANNED AERIAL VEHICLE AND REMOTE CONTROL
21.02.2019
Patent
Elektronische Ressource
Englisch
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B64C AEROPLANES , Flugzeuge |
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