Human motion detection and tracking

Neziha Jaouedi, Soumaya Zaghbani, Noureddine Boujnah, Mohamed Salim Bouhlel

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

4 Citations (Scopus)

Abstract

Human behavior analysis in a video scene is based on motion feature extraction and recognition, many information is hidden behind gesture, sudden motion and walking, many research works tried to model and then recognize human behavior through motion analysis. In our work we will focus on motion extraction and tracking with some enhancements comparing to previous approaches. The first phase of behavior analysis is the extraction of regions in the video in motion. The second phase is devoted to motion tracking using Kalman filter. Performances evaluation are based on both visual quality and numerical values of MSE(Mean Squared Error).

Original languageEnglish
Title of host publicationNinth International Conference on Machine Vision, ICMV 2016
EditorsDmitry P. Nikolaev, Antanas Verikas, Jianhong Zhou, Petia Radeva, Wei Zhang
PublisherSPIE
ISBN (Electronic)9781510611313
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event9th International Conference on Machine Vision, ICMV 2016 - Nice, France
Duration: 18 Nov 201620 Nov 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10341
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th International Conference on Machine Vision, ICMV 2016
Country/TerritoryFrance
CityNice
Period18/11/201620/11/2016

Keywords

  • Areas of interest
  • Background Subtraction
  • Gaussian mixture model
  • Kalman filter.
  • Motion tracking

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