Temporal-stochastic tensor features for action recognition

Temporal-stochastic tensor features for action recognition

In this paper, we propose Temporal-Stochastic Product Grassmann Manifold (TS-PGM), an efficient method for tensor classification in tasks such as gesture and action recognition. Our approach builds on the idea of representing tensors as points on Product Grassmann Manifold (PGM). This is achieved by...

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Bibliographic Details
Main Authors: Bojan Batalo, Lincon S. Souza, Bernardo B. Gatto, Naoya Sogi, Kazuhiro Fukui
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Machine Learning with Applications
Subjects:
Action recognition
Tensor data classification
Grassmann manifold
Subspace method
n-mode singular value decomposition
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000822

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http://www.sciencedirect.com/science/article/pii/S2666827022000822

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