Small multi-rotor unmanned aerial vehicle camera control method based on eyeball recognition tracking technology

Abstract

The invention discloses a small multi-rotor unmanned aerial vehicle camera control method based on an eyeball recognition tracking technology, and relates to the technical field of robot control. According to the invention, an eyeball identification tracking technology is used to assist an operator in controlling the small multi-rotor unmanned aerial vehicle camera; the method is characterized bycomprising the following steps: collecting an eyeball image of an operator, completing iris recognition and positioning, obtaining iris positioning information again in each control period to completeeyeball tracking, and completing the control of an unmanned aerial vehicle camera by using the difference between the real-time iris positioning information and a reference value thereof; according to the invention, an operator does not need to manually control the shooting direction of the camera when acquiring the image information shot by the camera of the small multi-rotor unmanned aerial vehicle, so the control variable is reduced, the operation difficulty is reduced, an independent person can independently control the small multi-rotor unmanned aerial vehicle, and the defects in the prior art are overcome.

Description

technical field [0001] The present invention relates to the technical field of robot control, and more specifically, relates to a camera control method for a small multi-rotor UAV based on eye recognition and tracking technology. Background technique [0002] UAV is an unmanned aircraft operated by radio remote control equipment and self-contained program control device. Among them, small multi-rotor UAV is small in size and flexible, suitable for low-altitude and near-ground flight, and has low requirements for take-off and landing sites , transportation is also very convenient, has been widely used in various industries. When the small multi-rotor UAV is performing a mission, it mainly obtains environmental information through an additional visible light camera or an infrared light camera. Since the flying attitude of the small multi-rotor UAV is kept horizontal most of the time, the shooting direction of the camera cannot be fixed for the small multi-rotor UAV. At prese...

AI Technical Summary

Problems solved by technology

At present, the eye-tracking technology algorithm has been applied to automatically turn pages when reading on mobile electronic devices, but there are certain problems in this application: reading and turning pages on mobile electronic devices is a behavior with very low operating costs, and the use of eye-tracking technology is of little significance ; Reading and turning pages only use the vertical rotation of the eyeballs and do not use activity information in other directions; mobile electronic devices are small in size and highly integrated, and the addition of sensors for eye tracking will greatly affect the overall design of the body, and the cost of modification is very high. high

These problems hinder the development of this technology and its application in other fields. Therefore, it is very meaningful to propose a small multi-rotor UAV camera control method combined with eye tracking technology.

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