Jian Wang, W. Hu, Zhiling Wang, Muhammad Sarfaraz Malik, Zonghai Chen
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The video sequence which contains certain human action is considered as a spatio-temporal volume. There exists certain characteristic signature in appropriately selected spatio-temporal slice of the video sequence. By using these discriminative signatures which we call “human action logos”, new approaches are proposed for period detection and action recognition. Algorithm performance is evaluated under eight typical human actions. Preliminary experiments have shown promising results.
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