Human action recognition using wavelets of derived beta distributions

Neziha Jaouedi, Noureddine Boujnah, Mohamed Salim Bouhlel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In the framework of human machine interaction systems enhancement, we focus throw this paper on human behavior analysis and action recognition. Human behavior is characterized by actions and reactions duality (movements, psychological modification, verbal and emotional expression. Its worth noting that many information are hidden behind gesture, sudden motion points trajectories and speeds, many research works reconstructed an information retrieval issues. In our work we will focus on motion extraction, tracking and action recognition using wavelet network approaches. Our contribution uses an analysis of human subtraction by Gaussian Mixture Model (GMM) and body movement through trajectory models of motion constructed from kalman filter. These models allow to remove the noise using the extraction of the main motion features and constitute a stable base to identify the evolutions of human activity.Each modality is used to recognize a human action using wavelets of derived beta distributions approach. The proposed approach has been validated successfully on a subset of KTH and UCF sport database.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2017
EditorsShi-Jinn Horng
PublisherIEEE
Pages516-520
Number of pages5
ISBN (Electronic)9781538631515
DOIs
Publication statusPublished - 27 Mar 2018
Externally publishedYes
Event18th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2017 - Taipei, Taiwan, Province of China
Duration: 18 Dec 201720 Dec 2017

Publication series

NameParallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings
Volume2017-December

Conference

Conference18th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2017
Country/TerritoryTaiwan, Province of China
CityTaipei
Period18/12/201720/12/2017

Keywords

  • Beta wavelet
  • Feautures extraction
  • Human action classifier
  • Wavelet neural network

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