Target tracking method and device, storage medium and computer equipment

A target tracking and computer program technology, applied in the field of computer vision, can solve problems such as tracking failure, reduced target tracking performance, and false drift, and achieve the effect of increasing robustness

Active Publication Date: 2020-07-17
SPREADTRUM COMM (SHANGHAI) CO LTD
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the target tracking algorithm with mean shift as the core of the algorithm further improves the accuracy and robustness of tracking by adding features, weights and other methods, there are still visual jitter problems in the tracking frame caused by scale or background changes in practical applications. And problems such as false drift or tracking failure caused by occlusion or disappearance, which reduce the performance of target tracking

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
  • Target tracking method and device, storage medium and computer equipment
  • Target tracking method and device, storage medium and computer equipment
  • Target tracking method and device, storage medium and computer equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] As mentioned in the background, in the prior art, the mean shift algorithm is used for target tracking. However, in practical applications, there is still the problem of visual jitter of the tracking frame caused by scale or background changes, which reduces the performance of target tracking.

[0033] Among them, the reason for the visual jitter problem is that the real-time characteristics of the mean shift algorithm will continuously predict the new position of the object every frame. When the relative position of the target object is almost unchanged, the scale changes slightly or the background changes, the calculated position will appear. Small-scale fluctuations appear continuously in the video and cause visual jitter.

[0034] In order to solve the above-mentioned problems existing in the prior art, an embodiment of the present invention provides a target tracking method, the method comprising: acquiring a target video stream, the target video stream includes sev...

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 target tracking method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining a target video stream which comprises a plurality offrames of images; identifying a tracking target from each frame of image of the target video stream; when the multi-dimensional multi-frame stable tracking is carried out, judging whether the tracking target is kept static or not; and if the judgment result is yes, setting the position of the tracking target in the current frame to be the same as the position of the tracking target in the previous frame of the current frame. Through the method, the target tracking performance can be effectively improved.

Description

technical field [0001] The present invention relates to the field of computer vision, in particular to an object tracking method and device, a storage medium, and computer equipment. Background technique [0002] Moving object tracking is one of the important topics in the field of computer vision, especially in intelligent transportation, video surveillance, human-computer interaction, medical research, etc. It plays an important role. In the case of complex tracking conditions, it is still a huge challenge to realize the real-time and stable tracking of moving targets. These challenges mainly include: the size change and shape change of the tracking target, the tracking target is blocked or disappeared, and the collected image is blurred. . Among them, the size change of the tracking target means that when the scale of the target becomes larger or smaller, if the tracking frame cannot be adaptively scaled at this time, it will cause the information update error or incompl...

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): G06T7/20
CPCG06T7/20G06T2207/10016
Inventor 王非凡何佳伟熊佳刘艳艳邓麟彭晓峰
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products