A structured multi-feature representation for recognizing human action and interaction

Author:

Liu BangliORCID,Ju Zhaojie,Liu HonghaiORCID

Funder

EU Seventh Framework Programme

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference63 articles.

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2. Unsupervised learning of human action categories using spatial-temporal words;Niebles;Int. J. Comput. Vis.,2008

3. Real-time human pose recognition in parts from single depth images;Shotton;Commun. ACM,2013

4. Histogram of oriented displacements (HOD): describing trajectories of human joints for action recognition;Gowayyed,2013

5. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition;Qiao;Pattern Recognit.,2017

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