Action recognition using global spatio-temporal features derived from sparse representations-Reference-Cited by-同舟云学术

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Action recognition using global spatio-temporal features derived from sparse representations

Published:2014-06 Issue: Volume:123 Page:1-13
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Somasundaram Guruprasad,Cherian Anoop,Morellas Vassilios,Papanikolopoulos Nikolaos

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference65 articles.

1. On space-time interest points;Laptev,2005

2. Computing visual correspondence with occlusions using graph cuts;Kolmogorov,2001

3. Action recognition for surveillance applications using optic flow and SVM;Danafar,2007

4. Learning realistic human actions from movies;Laptev,2008

5. Understanding egocentric activities;Fathi,2011

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1. A Spatio-Temporal Graph Convolutional Network Model for Internet of Medical Things (IoMT);Sensors;2022-11-02

2. Solving In-door Human Activity Recognition via RFID based on Unsupervised Domain Adaptation;2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS);2022-07-29

3. Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism;IEEE Access;2022

4. Two-stream deep spatial-temporal auto-encoder for surveillance video abnormal event detection;Neurocomputing;2021-06

5. Fusion of spatial and dynamic CNN streams for action recognition;Multimedia Systems;2021-03-23

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