Evidence map›Paper›PMID 35950087›Full record

ArticleScanning2022

Research and Implementation of Robot Vision Scanning Tracking Algorithm Based on Deep Learning.

Haifeng Guo, Wenyi Li, Na Zhou, He Sun, Zhao Han

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Scanning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Haifeng GuoCollege of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.ORCID https://orcid.org/0000-0002-2986-393X
Wenyi LiCollege of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.ORCID https://orcid.org/0000-0002-0515-7731
Na ZhouCollege of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.ORCID https://orcid.org/0000-0003-1663-9370
He SunCollege of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.ORCID https://orcid.org/0000-0003-4970-5039
Zhao HanCollege of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi, Liaoning 117004, China.ORCID https://orcid.org/0000-0003-2972-2501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to solve the difficult problem of deep learning-based robot vision tracking algorithm research and implementation, a deep learning-based target tracking algorithm and a classical tracking algorithm were proposed. It mainly uses the combination of traditional TLD algorithm and GOTURN algorithm to benefit from a large number of offline training data and updates the learner online, so that the whole system has better performance in real-time and accuracy. The results show that the performance of the TLD algorithm is poor regardless of the accuracy curve or the accuracy curve, and the performance of GOTURN-LD is significantly improved when the illumination changes. In the face of occlusion problem, the TLD algorithm shows strong robustness. Although GOTURN-LD is not very stable, its performance is better than GOTURN on the whole.

Indexed as

Deep LearningRoboticsAlgorithms

Identifiers

PMID35950087
PMCPMC9345732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.