MMNet : A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos
Human action recognition (HAR) in RGB-D videos has been widely investigated since the release of affordable depth sensors. Currently, unimodal approaches (e.g., skeleton-based and RGB video-based) have realized substantial improvements with increasingly larger datasets. However, multimodal methods s...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 26. März, Seite 3522-3538
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1. Verfasser: |
Yu, Bruce X B
(VerfasserIn) |
Weitere Verfasser: |
Liu, Yan,
Zhang, Xiang,
Zhong, Sheng-Hua,
Chan, Keith C C |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2023
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |