A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

标题
A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection
作者
关键词
Human detection, Preprocessing, Segmentation, Feature extraction, Fusion, Feature selection, Action recognition
出版物
出版商
Springer Nature
发表日期
2017-12-19
DOI
10.1186/s13640-017-0236-8

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