Stage wheeled mobile robot target detection method based on visual saliency

Abstract

The invention provides a stage wheeled mobile robot target detection method based on visual saliency. A visual sensor is installed on a stage wheeled mobile robot; in the walking process of the stagewheel type mobile robot, the visual sensor collects an original environment image of the stage wheel type mobile robot in real time; when a frame of original environment image is collected each time,target analysis is carried out on the original environment image, and target information is rapidly and effectively detected; and target tracking and navigation are carried out according to the detected target information. The visual saliency-based stage wheeled mobile robot target detection method provided by the invention has the advantage of high image detection efficiency, and can improve thetarget detection and tracking precision and efficiency of the stage wheeled mobile robot, thereby providing good technical support for the target detection and tracking of the stage wheeled mobile robot, and improving the detection accuracy and efficiency of the stage wheeled mobile robot. And real-time communication and real-time navigation of the stage wheel type mobile robot are ensured.

Description

Technical field [0001] The present invention belongs to the technical field of mobile robot target detection, and specific relates to a stage wheel mobile robot target detection method based on visual significance. Background technique [0002] In the target detection technology of the stage wheeled mobile robot, the real-time image is often acquired by the visual sensor installed on the robot, and then uses the environmental information contained in the real-time image to detect the target of the pursuit, complete the stage wheel robot real-time Navigate, achieving more suitable stations with stage performers to achieve more rejuvenating stage effects. [0003] In the prior art, the stage wheeled mobile robot uses a classic SIFT feature algorithm to achieve a clearer objective. However, the SIFT feature algorithm involves image scale division, resulting in slowing image processing speed, directly affecting the efficiency of real-time processing and feedback of the stage wheel mo...

AI Technical Summary

Problems solved by technology

However, the SIFT feature algorithm involves the division of image scales, which leads to a slowdown in image processing speed, which directly affects the efficiency of real-time processing and feedback of the stage wheeled mobile robot, and affects the real-time communication and real-time navigation of the stage wheeled mobile robot.

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