Silhouette-based human action recognition with a multi-class support vector machine
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[1] Alexandros André Chaaraoui,et al. An Efficient Approach for Multi-view Human Action Recognition Based on Bag-of-Key-Poses , 2012, HBU.
[2] Alexandros Andre Chaaraoui,et al. Vision-based Recognition of Human Behaviour for Intelligent Environments , 2014 .
[3] Keiichi Abe,et al. Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..
[4] Ronald Poppe,et al. A survey on vision-based human action recognition , 2010, Image Vis. Comput..
[5] Muhammad Haroon Yousaf,et al. Multi-view human action recognition using 2D motion templates based on MHIs and their HOG description , 2016, IET Comput. Vis..
[6] Hossein Ragheb,et al. MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[7] Sergio A. Velastin,et al. F1 score assesment of gaussian mixture background subtraction algorithms using the MuHAVi dataset , 2015, ICDP.
[8] Antonio Fernández-Caballero,et al. A survey of video datasets for human action and activity recognition , 2013, Comput. Vis. Image Underst..
[9] Alexandros André Chaaraoui,et al. Adaptive Human Action Recognition With an Evolving Bag of Key Poses , 2014, IEEE Transactions on Autonomous Mental Development.
[10] Mehrtash Tafazzoli Harandi,et al. Going deeper into action recognition: A survey , 2016, Image Vis. Comput..