Supporting Data and Evaluation Outputs for JerseyTrack: A Confidence-Guided Sports Multi-Object Tracking Method via Jersey Semantic Fusion
收藏资源简介:
This repository provides the supporting materials for the manuscript “A Confidence-Guided Sports Multi-Object Tracking Method via Jersey Semantic Fusion.” The archived materials include evaluation summaries, final tracking outputs, environment records, dataset mapping files, protocol reproduction materials, intermediate summary files, and revision evidence used to support the reported SportsMOT validation results. Custom implementation containing data preparation, semantic feature extraction, confidence partitioning, tracking, post-processing, and evaluation scripts. The reported formal results were obtained from the real detector, real frame-level semantic feature extraction, confidence partitioning, cascaded association, and TrackEval evaluation pipeline. The original public benchmark datasets, including SportsMOT, TeamTrack, SoccerNet Tracking, MOT17, and MOT20, are not redistributed in this repository and should be obtained from their original providers.



