Image stabilizing method of binocular vision system based on human eyeball vestibular-ocular reflex in bumpy environment

Abstract

The invention discloses an image stabilizing method of binocular vision system based on human eyeball vestibular-ocular reflex in bumpy environment, which is characterized in that the system can stimulate the eyeball vestibular-ocular reflex of human eyes when a platform on which a camera is placed is in the bumpy environment so as to compensate visual errors due to the bumping of the camera platform. The method mainly uses a sensor to measure the kinematic parameter of a motion platform, and then A / D conversion, digital filtering, scale conversion and controlling operation are carried out on parameters by a camera control unit to obtain rotation angle and direction needed by the movement of a camera holder motor compensation platform; the control signal drives the camera holder motor on the motion platform to rotate by a serial port. Thus, the method is adopted for simple operation to control the camera holder motor to rotate according to corresponding direction at certain speed, thus eliminating the visual error brought by rotation and horizontal swinging when the platform provided with the camera moves.

Description

technical field [0001] The invention relates to a method for stabilizing images of a binocular vision system in a bumpy environment based on human eyeball vestibular oculomotor reflex. Background technique [0002] In the process of monitoring and autonomous visual tracking of targets, there are often onboard PTZ (abbreviation for Pan-Tilt-Zoom) cameras, which are in a bumpy environment, which makes the monitoring or tracking targets often "lost" or "off-target". ". In order to keep the tracked ground moving target at the center of the image and transmit the image back to the ground command center, we build a binocular vision stabilization based on the vestibular eye movement reflex of the human eyeball system. The modified system can be widely used in military reconnaissance, weapon delivery, ground attack, anti-terrorism and anti-riot, traffic monitoring, emergency service assistance, photogrammetry and surveying and other fields, so it has received great attention from ...

AI Technical Summary

Problems solved by technology

However, when the dual-camera platform tracks and monitors targets in a turbulent environment, since the dual-camera platform, the airborne PTZ camera, and the tracked and monitored targets are all in motion, and the vibration of the airborne dual-camera motion platform itself has an impact on The effect of image stabilization is also significant, making existing object recognition and tracking methods for scenes acquired from stationary cameras difficult to apply

On the issue of tracking and monitoring, the focus of previous research at home and abroad is mainly on image processing. The movement of the camera itself is only compensated by image processing methods such as affine deformation algorithms, so the stability of the image is not ideal. Surveillance targets are easy to escape the field of vision

Images