The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 28, 2019
Filed:
Feb. 27, 2016
Eyedea Inc., Seoul, KR;
Jinbyuk Hwang, Seoul, KR;
Ju Hong Park, Incheon, KR;
Jang Dong Im, Bucheon-si, KR;
Hyo Jin Park, Seoul, KR;
EYEDEA INC., Seoul, KR;
Abstract
The present invention relates to an unmanned aerial vehicle having an automatic tracking function and a control method thereof, the unmanned aerial vehicle comprising: an image input unit for acquiring an image of a peripheral image of a subject to be photographed; an object recognition unit for extracting a region of interest using the image acquired through the image input unit, detecting a specific region located within the region of interest to measure coordinates, and recognizing the specific region as an object to be tracked; an object tracking unit for calculating and tracking a position of the object to be tracked recognized by the object recognition unit using a tracking learning detection (TLD) learning algorithm and generating a drive command for driving the unmanned aerial vehicle corresponding to the position; a motion recognition unit for recognizing a motion of the object to be tracked and generating a driving command corresponding to a photographing mode, a moving picture photographing mode, and a return mode; and a drive control unit for driving the unmanned aerial vehicle according to the drive command. Due to this feature, the present invention has an effect of enabling autonomous flight of an unmanned aerial vehicle by recognizing and automatically tracking an object to be tracked.