Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson. Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. In Huiping Cao, Jinyan Li, Ruili Wang, editors, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers. Volume 9794 of Lecture Notes in Computer Science, pages 88-100, Springer, 2016. [doi]

Abstract

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