Human Interaction Prediction Using Deep Temporal Features

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Skeleton-Based Online Action Prediction Using Scale Selection Network (2019, background): “Most of the existing works [1], [3], [4] focus on action prediction in wellsegmented videos, for which each video contains exactly one action instance.”
SSNet: Scale Selection Network for Online 3D Action Prediction (2018, background): “[27] extracted deep features in optical flow images for activity prediction.”
Human Action Recognition From Various Data Modalities: A Review (2020, background): “Group action recognition [489], [490] and human-human interaction recognition [491], [492] tasks also demand diverse datasets.”
SkeletonNet: Mining Deep Part Features for 3-D Action Recognition (2017, background): “Moreover, it has shown great success for various visual recognition tasks [23], [24].”
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction (2016, methodology): “The temporal convolutional network [10] aims to model the temporal information from subsequences and has been successfully used for interaction prediction.”
Online action detection (2017, background): “Where the machine needs to predict the future action class category [13], or future action representation [27] before the action starts.”