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Dynamic Manifold Warping for view invariant action recognition
Found in: Computer Vision, IEEE International Conference on
By Dian Gong,Gerard Medioni
Issue Date:November 2011
pp. 571-578
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbitrary viewpoint. We propose a Spatio-Temporal Manifold (STM) model to analyze...
Structured Time Series Analysis for Human Action Segmentation and Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dian Gong,Gerard Medioni,Xuemei Zhao
Issue Date:July 2014
pp. 1-1
We address the problem of structure learning of human motion in order to recognize actions from a continuous monocular motion sequence of an arbitrary person from an arbitrary viewpoint. Human motion sequences are represented by multivariate time series in...