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:
Oct. 04, 2022
Filed:
Jun. 16, 2021
Chongqing University, Chongqing, CN;
Yongduan Song, Chongqing, CN;
Li Huang, Chongqing, CN;
Shilei Tan, Chongqing, CN;
Junfeng Lai, Chongqing, CN;
Huan Liu, Chongqing, CN;
Ziqiang Jiang, Chongqing, CN;
Jie Zhang, Chongqing, CN;
Huan Chen, Chongqing, CN;
Jiangyu Wu, Chongqing, CN;
Hong Long, Chongqing, CN;
Fang Hu, Chongqing, CN;
Qin Hu, Chongqing, CN;
Chongqing University, Chongqing, CN;
Abstract
The present disclosure provides a neural network-based visual detection and tracking method of an inspection robot, which includes the following steps of: 1) acquiring environmental images of a dynamic background a movement process of the robot; 2) preprocessing the acquired images; 3) detecting human targets and specific behaviors in the images in the robot body, and saving the sizes, position information and features of the human targets with the specific behaviors; 4) controlling the orientation of a robot gimbal by using a target tracking algorithm to make sure that a specific target is always located at the central positions of the images; and 5) controlling the robot to move along with a tracked object. The neural network-based visual detection and tracking method of an inspection robot in the present disclosure has a quite high adaptive ability, achieves better detection and tracking effects on targets in a dynamic background scene.