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公开(公告)号:US10740607B2
公开(公告)日:2020-08-11
申请号:US15980051
申请日:2018-05-15
Applicant: AUTEL ROBOTICS CO., LTD.
Inventor: Jiangyuan Mei
IPC: G06K9/00 , G06K9/66 , G06K9/20 , G06K9/62 , B64C39/02 , G06N7/00 , G06N3/08 , G05D1/12 , G05D1/00 , G06N3/04
Abstract: 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.