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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

3D Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier

Author 1: Fadwa Al-Azzo
Author 2: Arwa Mohammed Taqi
Author 3: Mariofanna Milanova

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080403

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

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Abstract: This paper presents a new model of scale, rotation, and translations invariant interest point descriptor for human actions recognition. The descriptor, HMIV (Hu Moment Invariants on Videos) is used for solving surveillance camera recording problems under different conditions of side, position, direction and illumination. The proposed approach deals with raw input human action video sequences. Seven Hu moments are computed for extracting human action features and for storing them in a 1D vector which is constringed as one mean value for all the frames’ moments. The moments are invariant to scale, translation, or rotation, which is the robustness point of Hu moments algorithm. The experiments are evaluated using two different datasets; KTH and UCF101. The classification process is executed by calculating the Euclidean distance between the training and testing datasets. Human action with minimum distance will be selected as the winner matching action. The maximum classification accuracy in this work is 93.4% for KTH dataset and 92.11% for UCF101.

Keywords: human action recognition; Hu moment invariants; surveillance camera; Euclidean distance

Fadwa Al-Azzo, Arwa Mohammed Taqi and Mariofanna Milanova, “3D Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080403

@article{Al-Azzo2017,
title = {3D Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080403},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080403},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Fadwa Al-Azzo and Arwa Mohammed Taqi and Mariofanna Milanova}
}


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