Notice of Violation of IEEE Publication Principles: Study on Sports Volleyball Tracking Technology Based on Image Processing and 3D Space Matching

Dianchen He,Li Li,Lina An

doi:10.1109/access.2020.2990941

Dianchen He, Li Li + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.2990941

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Abstract

Notice of Violation of IEEE Publication Principles “Study on Sports Volleyball Tracking Technology Based on Image Processing and 3D Space Matching” by Dianchen He, Li Li, Lina An in IEEE Access, April 2020 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles. This paper is duplicated content from the paper cited below. The original content copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article: “Ball Feature Based Likelihood Estimation in Particle Filter Algorithm with Automatic Recovery for 3D ball Tracking in Volleyball” by Xina Cheng in the Master’s Thesis, Waseda University, Japan, 2015 The tracking technology of the 3D space position of the target is of great use to the analysis and understanding of professional volleyball match, but there are many factors that affect the volleyball tracking rate in the competition. In this paper, the image processing technology is combined with 3D spatial matching technology, and a sports volleyball tracking system framework is established with particle filter, which improves the accuracy of volleyball tracking more effectively. This article begins with a 3D tracking volleyball workflow diagram and selects using particle filters to improve tracking success rates. Secondly, the paper puts forward the similarity estimation method according to the characteristics of volleyball itself, mainly the similarity estimation of the base and HSV color space, to solve the problem of the super-computing of real-time tracking. Finally, the results of the simulation experiment can be seen that the method can greatly improve the tracking success rate, high efficiency and high accuracy of the characteristics of the dynamic video sports volleyball tracking, has an unpredictable application development value.

Highlights

With the rapid development of science and technology, multimedia data is increasing day by day
This paper proposes the similarity estimation method based on the characteristics of volleyball, which contains three aspects: 1. The use of adaptive volleyball size tracking window can automatically adapt to the size of the volleyball in the image taken by the camera in different directions; 2
In the volleyball tracking testing study of this paper, the similarity of the circle is defined in Figure 7: In the process of volleyball match video tracking detection, in order to ensure that the probability of tracking window appearing in the video is higher, we give the concept of roundness

Summary

Introduction

With the rapid development of science and technology, multimedia data is increasing day by day. D. He et al.: Study on Sports Volleyball Tracking Technology Based on Image Processing and 3D Space Matching field density is relatively high, which makes the volleyball detection in the volleyball video brought great difficulty [4].

Results

Conclusion