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Article
Peer-Review Record

Open Dataset Recorded by Single Cameras for Multi-Player Tracking in Soccer Scenarios

Appl. Sci. 2022, 12(15), 7473; https://doi.org/10.3390/app12157473
by Wenbin Huang 1,2, Sailing He 1,2, Yaoran Sun 2, Julian Evans 1, Xian Song 3, Tongyu Geng 1, Guanrong Sun 4 and Xubo Fu 4,*
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2022, 12(15), 7473; https://doi.org/10.3390/app12157473
Submission received: 28 June 2022 / Revised: 18 July 2022 / Accepted: 22 July 2022 / Published: 25 July 2022
(This article belongs to the Section Robotics and Automation)

Round 1

Reviewer 1 Report

Overall this article is well drafted with clear purpose: designing a low-cost but high-efficiency motion tracking system for non-professional soccer players. I only have few comments about data analysis and discussion of results.

Methods: 

Statistical analysis should be applied to test is there any significance difference between four candidate algorithms as well as selected metrics. For example, ANOVA + multiple comparison might be a good try. 

Discussion: 

Looks like the certain algorithm demonstrated better performance  than others on certain metric. For example, FairMot showed better performance on HOTA metric, can authors explain more about this?   

Others: 

The authors should cite the references sequentially.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

See attached file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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