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- W2137996946 abstract "This paper presents a review and comparative study of recent multi-view 2D and 3D approaches for human action recognition. The approaches are reviewed and categorized due to their nature. We report a comparison of the most promising methods using two publicly available datasets: the INRIA Xmas Motion Acquisition Sequences (IXMAS) and the i3DPost Multi-View Human Action and Interaction Dataset. Additionally, we discuss some of the shortcomings of multi-view camera setups and outline our thoughts on future directions of 3D human action recognition." @default.
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- W2137996946 date "2011-12-01" @default.
- W2137996946 modified "2023-10-17" @default.
- W2137996946 title "Human action recognition using multiple views" @default.
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- W2137996946 doi "https://doi.org/10.1145/2072572.2072588" @default.
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