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Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition., , , and . Sensors, 19 (12): 2790 (2019)Pedestrian detection based on adaboost algorithm with a pseudo-calibrated camera., and . IPTA, page 54-59. IEEE, (2010)3D Extended Histogram of Oriented Gradients (3DHOG) for Classification of Road Users in Urban Scenes., , and . BMVC, page 1-11. British Machine Vision Association, (2009)Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks., , , , and . CoRR, (2018)3D-Hog Embedding Frameworks for Single and Multi-Viewpoints Action Recognition Based on Human Silhouettes., , , , and . ICASSP, page 4219-4223. IEEE, (2018)Evaluation of Unsupervised Segmentation Algorithms for Silhouette Extraction in Human Action Video Sequences., , and . IVIC (1), volume 7066 of Lecture Notes in Computer Science, page 13-22. Springer, (2011)People Detection and Pose Classification Inside a Moving Train Using Computer Vision., and . IVIC, volume 10645 of Lecture Notes in Computer Science, page 319-330. Springer, (2017)Detection and Tracking of Motorcycles in Congested Urban Environments Using Deep Learning and Markov Decision Processes., , and . MCPR, volume 11524 of Lecture Notes in Computer Science, page 139-148. Springer, (2019)A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera., , , , , and . CoRR, (2019)Evaluating a bag-of-visual features approach using spatio-temporal features for action recognition., , and . Comput. Electr. Eng., (2018)