Web-Based Classifiers for Human Action Recognition

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Cross-View Action Modeling, Learning, and Recognition (2014, background): “In the literature of video-based action recognition, most existing methods recognize actions from the view that is more or less the same as the training videos [6].”
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation (2017, background): “high-level computer vision tasks, including action and activity recognition [11]–[13], semantic content retrieval [14], humancomputer interaction, motion capture [15], and animation.”
Human Action Recognition With Video Data: Research and Evaluation Challenges (2014, methodology): “plored such as space time saliency [39], [46], [55], [100], pruning of motion features [51], [107], [137], bag-of-words approach [62], [128], PbHOG [87], and pose-based representation [48],”
A survey on still image based human action recognition (2014, background): “In their approach, body part detectors need to be trained and the detection results might not be good in some cases.”