Handcrafted localized phase features for human action recognition

Seyed Mostafa Hejazi, Charith Abhayaratne

Abstract: Highlights•Proposal of phase correlation to model motion leading to specific human actions.•Proposal of considering localized phase variation to extract features for representing human actions.•Evaluation of the proposed model with commonly used HAR datasets.•Outperforming currently state-of-the art Deep Learning methods on challenging datasets like Kinetics-400 and Kinetics-700.