Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier
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DOI: 10.1007/s11042-017-5335-0
Abstract: This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned features from depth maps, and exploits effectively both the local and global temporal… read more here.
Keywords: action recognition; hmm svm; recognition; hand ... See more keywords