Sparse Canonical Temporal Alignment with Deep Tensor Decomposition for Action Recognition

In this paper we solve three problems in action recognition: sub-action, multi-subject, and multi-modality, by reducing the diversity of intra-class samples. The main stage contains canonical temporal alignment and key frames selection. As we know, temporal alignment aims to reduce the diversity of...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 2 vom: 15. Feb., Seite 738-750
1. Verfasser: Jia, Chengcheng (VerfasserIn)
Weitere Verfasser: Shao, Ming, Fu, Yun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article