A Cause and Effect Analysis of Motion Trajectories for Modeling Actions

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Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition (2014, neutral): “[19] 89.”
Human Action Recognition in Unconstrained Videos by Explicit Motion Modeling (2015, methodology): “[66] , the authors used the Granger causality to model the temporal cause and effect relationships of dense trajectories for action recognition.”
Minimum uncertainty latent variable models for robot recognition of sequential human activities (2017, methodology): “We adopt the three trainingtesting splits provided by the authors for evaluation [31], [32].”
Exploring Causal Relationships in Visual Object Tracking (2015, background): “Finally, Narayan and Ramakrishnan [29] remove the need for motion-capture systems, using causal relationships between clusters of dense trajectories.”
Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition (2017, unknown): “6 Narayan [44] 92.”