Open AccessSummary of continuous action recognition
Author(s) -
Jiahui An,
Xinbin Cheng,
Qing Wang,
Hong Chen,
Jiayue Li,
Shiji Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1607/1/012116
Subject(s) - action (physics) , action recognition , computer science , feature (linguistics) , field (mathematics) , segmentation , artificial intelligence , pattern recognition (psychology) , mathematics , physics , quantum mechanics , class (philosophy) , linguistics , philosophy , pure mathematics
In the field of human-computer interaction, it is very important for computers to understand human behaviors, so human action recognition is of great significance. But in the current action recognition work, most of them are for the segmented action data. Compared with this, there is less research on continuous action recognition. Therefore, this paper summarizes the research on continuous action recognition, and elaborates on action feature extraction, action classification, and continuous action segmentation.