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.


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    Title :

    METHOD FOR DETERMINING TARGET THROUGH INTELLIGENT FOLLOWING OF UNMANNED AERIAL VEHICLE, UNMANNED AERIAL VEHICLE AND REMOTE CONTROL


    Contributors:

    Publication date :

    2019-02-21


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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