A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition

Author： Sargano Allah Bux   Angelov Plamen   Habib Zulfiqar  

Publisher： MDPI

E-ISSN： 2076-3417|7|1|110-110

ISSN： 2076-3417

Source： Applied Sciences, Vol.7, Iss.1, 2017-01, pp. : 110-110

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