Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

Stochastic Method for Skeleton Based Human Action Diagnostics

Authors
Yury Egorov, Irina Zakharova, Andrew Filitsin, Alexandr Gasanov
Corresponding Author
Yury Egorov
Available Online 10 November 2020.
DOI
https://doi.org/10.2991/aisr.k.201029.024How to use a DOI?
Keywords
behavior modeling, human action recognition, Hidden Markov Models, intermediate state sequences, skeleton based actions detection
Abstract

In recent years, modeling of human actions and activity patterns for recognition or detection of the special situation has attracted a significant research interest. We present our approach for abnormal human action recognition as a sequence of intermediate states. We propose to decompose each action into a sequence of discrete intermediate states and to present state transitions as a stochastic process. Each state is described with the joint locations of a human skeleton. Actions are described with Hidden Markov Model based on the found states and its interconnections. As a result, we combine our stochastic model of human actions with intermediate states described via skeleton joints. Convolutional Neural Network is employed to learn skeleton features for intermediate state recognition. Viterbi algorithm is employed to find model parameters. We implemented proposed methods in a framework for human abnormal action recognition and tested our approach on two samples: MPII Human Pose Dataset and exam footages.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
Series
Advances in Intelligent Systems Research
Publication Date
10 November 2020
ISBN
10.2991/aisr.k.201029.024
ISSN
1951-6851
DOI
https://doi.org/10.2991/aisr.k.201029.024How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yury Egorov
AU  - Irina Zakharova
AU  - Andrew Filitsin
AU  - Alexandr Gasanov
PY  - 2020
DA  - 2020/11/10
TI  - Stochastic Method for Skeleton Based Human Action Diagnostics
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 121
EP  - 126
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.024
DO  - https://doi.org/10.2991/aisr.k.201029.024
ID  - Egorov2020
ER  -