Hilbert Huang Transform with CNN for Action Recognition in First Person Videos
ICME - Temporal aggregation for first-person action recognition using Hilbert-Huang transform
Please cite this paper if you use this code
@INPROCEEDINGS{8019520,
author={D. {Purwanto} and Y. {Chen} and W. {Fang}},
booktitle={2017 IEEE International Conference on Multimedia and Expo (ICME)},
title={Temporal aggregation for first-person action recognition using Hilbert-Huang transform},
year={2017},
volume={},
number={},
pages={895-900},
keywords={convolution;feature extraction;Hilbert transforms;image recognition;neural nets;time-frequency analysis;video signal processing;temporal aggregation;first-person action recognition;Hilbert-Huang transform;HHT;first-person videos;time-frequency analysis;convolutional neural network;CNN features;Videos;Feature extraction;Transforms;Time series analysis;Trajectory;Correlation;Automobiles;Temporal pyramid pooling;temporal aggregation;first-person video;action recognition;Hilbert-Huang transform},
doi={10.1109/ICME.2017.8019520},
ISSN={1945-788X},
month={July},}