Unsupervised Clustering in Football Analysis: A Color-Segmentation and Lighting Adaptation Approach
In football match videos, team affiliation is typically identified using unsupervised methods, which distinguish individuals based on unique features.These methods reduce the effort needed for dataset labeling compared to supervised approaches.However, uneven lighting in outdoor football face toner scenes often compromises accuracy.This paper intro