Online view-invariant human action recognition using rgb-d spatio-temporal matrix
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文摘

We provide a promising vision-based view-invariant action recognition system from RGB-D videos.

We use the Euclidean distance between spatio-temporal feature vectors that are represented in a Spatio-Temporal Matrix (STM).

We describe the local tendency of the STM using pyramid-structural bag-of-words (BoW-Pyramid) and train a SVM classifier.

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