Method for determining target through intelligent following of unmanned aerial vehicle, unmanned aerial vehicle and remote control

A method for determining a target through intelligent following of an unmanned aerial vehicle, applied to an electronic device, wherein the method comprises:

• obtaining, by the electronic device, an image returned by an unmanned aerial vehicle;
• obtaining, by the electronic device 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, by the electronic device, 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;
• 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;
• and
• sending a target following command to the unmanned aerial vehicle if a target image exists.