Research Article
RETRACTED: A novel SURF-RANSAC matching method for athletics posture recognition [EAI Endorsed Scal Inf Syst (2022), Online First]
@ARTICLE{10.4108/eai.8-4-2022.173785, author={Fang Duan}, title={RETRACTED: A novel SURF-RANSAC matching method for athletics posture recognition [EAI Endorsed Scal Inf Syst (2022), Online First]}, journal={EAI Endorsed Transactions on Scalable Information Systems: Online First}, volume={}, number={}, publisher={EAI}, journal_a={SIS}, year={2022}, month={4}, keywords={}, doi={10.4108/eai.8-4-2022.173785} }- Fang Duan
Year: 2022
RETRACTED: A novel SURF-RANSAC matching method for athletics posture recognition [EAI Endorsed Scal Inf Syst (2022), Online First]
SIS
EAI
DOI: 10.4108/eai.8-4-2022.173785
Abstract
We, the Publisher, have retracted the following article: Fang Duan, (2022). A novel SURF-RANSAC matching method for athletics posture recognition. EAI Endorsed Scal Inf Syst. http://dx.doi.org/10.4108/eai.5-1-2022.172781
The authors submitted the article to the Special Issue on “Real-time image information processing with deep neural networks and data mining technologies”, edited by the Guest Editors Dr Prof. Hang Li (Northeastern University, China) and Dr Prof. Jochen Schiewe, HafenCity Universität Hamburg, Germany.
From our Research Integrity Team, we performed auditing of the editorial process of this Special Issue, and we identified misconduct during the review process. The generated reviews were simple, generalistic, without rigour, and the same for every submission.
Following the COPE guidelines, we decided to RETRACT this article because “Peer review manipulation suspected after publication”. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.
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