Li et al., 2020 - Google Patents
SGM-Net: Skeleton-guided multimodal network for action recognitionLi et al., 2020
- Document ID
- 10529292753553755388
- Author
- Li J
- Xie X
- Pan Q
- Cao Y
- Zhao Z
- Shi G
- Publication year
- Publication venue
- Pattern Recognition
External Links
Snippet
Single-modality human action recognition on RGB or skeleton has been extensively studied. Each of these two modalities has its own advantages as well as limitations, because they depict action from different perspectives. The feature of different modalities can complement …
- 210000002356 Skeleton 0 abstract description 119
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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