Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Moving target tracking and positioning method based on single camera

A moving target, tracking and positioning technology, applied in the field of image recognition, can solve the problems of variable target scale, changing lighting conditions, occlusion, etc., and achieve the effect of accurate tracking and positioning, strong applicability, and reduced iteration time

Inactive Publication Date: 2019-09-10
长沙品先信息技术有限公司 +1
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the image often has problems such as changes in lighting conditions, obstacles occlusion, and variable target scales, the effect of target tracking is not good.
These problems pose challenges to the research of target tracking algorithms.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Moving target tracking and positioning method based on single camera
  • Moving target tracking and positioning method based on single camera
  • Moving target tracking and positioning method based on single camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0048] It should be noted that, in order to further set forth the present invention, the following explanations are made here:

[0049] MeanShift algorithm, clustering algorithm: an iterative step, that is, first calculate the offset mean of the current point, move the point to its offset mean, and then use this as a new starting point to continue moving until certain conditions are met;

[0050] Camshift (Continuously Adaptive Mean-SHIFT) algorithm: continuous adaptive MeanShift algorithm, its basic idea is to perform MeanShift calculation on all frames of the video image, and use the result of the previous frame (ie, the center and size of the search window) as the next frame The initial value...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a moving target tracking and positioning method based on a single camera, and the method comprises the following steps: S1, carrying out the extraction of a moving target, carrying out the image collection of the moving target through the single camera, and the color space of a collected image being an RGB space; S2, identifying a moving object, specifically realizing the identification of the moving object through a digital image processing method; and S3, tracking and positioning the moving target, detecting the edge of the moving target through a Camshift algorithm and a neighborhood linear search method, and determining the relationship with the surrounding environment so as to carry out positioning processing. Compared with a traditional target tracking and positioning method, the iteration time of the tracking operation is reduced in the tracking time, the phenomena of frame loss and sudden change of the position of the moving target between two adjacent frames of collected images caused by the precision of the camera are effectively solved, and the method has the advantages of accurate tracking and positioning, high applicability, time saving and simple and convenient process.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method for tracking and locating a moving target based on a single camera. Background technique [0002] Computer vision is an important branch of computer science and artificial intelligence. It is not only a field of engineering, but also a challenging and important research field in the field of science. The challenge of computer vision is to develop human-level visual capabilities for computers and robots. Machine vision requires image signals, texture and color modeling, geometry processing and inference, and object modeling. [0003] Moving object tracking is an important branch in the field of computer vision, involving image processing, artificial intelligence, pattern recognition, automatic control and other fields. Target tracking refers to the detection and tracking of a specified target in a video or image sequence, so as to obtain information such as th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T7/215G06T7/13
CPCG06T7/13G06T7/20G06T7/215G06T2207/10024
Inventor 刘湘辉
Owner 长沙品先信息技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products