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Target positioning method and terminal equipment

A target positioning and target technology, applied in the field of target positioning method and terminal equipment, can solve the problem of low positioning accuracy and achieve the effect of improving positioning accuracy

Pending Publication Date: 2020-06-02
UBTECH ROBOTICS CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a target positioning method and a terminal device to solve the current problem of low positioning accuracy of target positioning through monocular vision

Method used

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  • Target positioning method and terminal equipment
  • Target positioning method and terminal equipment
  • Target positioning method and terminal equipment

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Embodiment Construction

[0027] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0028] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0029] figure 1 The implementation flowchart of the target positioning method provided by the embodiment of the present invention is described in detail as follows:

[0030] In S101, a first image of a first preset area is collected by a depth camera, and a second ima...

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Abstract

The invention relates to the technical field of computers, and provides a target positioning method and terminal equipment. The method comprises the steps: collecting a first image of a first preset area through a depth camera, and collecting a second image of a second preset area through a binocular camera; respectively carrying out target detection on the first image and the second image, and determining a target confidence coefficient of the first image and a target confidence coefficient of the second image; comparing the target confidence of the first image with the target confidence of the second image, and determining the image with high target confidence as a to-be-positioned image; and positioning the position information of the target according to the to-be-positioned image. According to the invention, images of different areas are collected through the depth camera and the binocular camera, and then the image with high target confidence is selected for tracking and positioning, so that the target positioning precision can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a target positioning method and terminal equipment. Background technique [0002] With the development of science and technology, the robot soccer game has become the most challenging research topic in the field of robotics and artificial intelligence. In robot football games, how to accurately detect, track and locate the football is the basis of robot decision-making and control, and has very important research significance. [0003] At present, the existing methods mainly use monocular vision detection, which has the following process: first, use color features in the color image to segment the image to obtain the target candidate area, and use geometric constraints to filter the target candidate area to obtain the final football target, and then The CamShift algorithm is used to track the football target, and finally the pinhole camera model is used to obtain the t...

Claims

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Application Information

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IPC IPC(8): G06T7/70G06T3/60
CPCG06T7/70G06T3/604G06T2207/10024G06T2207/10028G06T2207/20016
Inventor 熊友军庞建新李懿顾景张惊涛郭奎
Owner UBTECH ROBOTICS CORP LTD