Robust Background Subtraction Based Person's Counting from Overhead View

Misbah Ahmad, Imran Ahmed, Kaleem Ullah, Iqbal Khan, Awais Adnan

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

18 Citations (Scopus)

Abstract

In this paper, a computer vision based person counting system is presented which not only counts the number of persons in the scene but also keeps track on the number of persons entering and leaving the scene. The proposed system analyzes the video sequences which are captured by an overhead camera installed at about 7 meters height. Several background subtraction algorithms were compared and the best suited and efficient algorithm i.e Mixture of Gaussian (MoG) is selected for person counting from an overhead view. Whereas, a rectangular virtual zone, which covers all sides of the scene, is defined for counting the persons leaving and entering the scene. Moreover, in the proposed system a new real-life dataset is created using a single overhead camera. Ground truth is used for evaluation of the proposed system. The proposed algorithm achieves an accuracy of 98% for person counting and 95% for persons entering and leaving in the virtual zone. The overall average accuracy of the proposed system is 96%.

Original languageEnglish
Title of host publication2018 9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018
EditorsSatyajit Chakrabarti, Himadri Nath Saha
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages746-752
Number of pages7
ISBN (Electronic)9781538676936
DOIs
Publication statusPublished - Nov 2018
Externally publishedYes
Event9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018 - New York City, United States
Duration: 8 Nov 201810 Nov 2018

Publication series

Name2018 9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018

Conference

Conference9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018
Country/TerritoryUnited States
CityNew York City
Period8/11/1810/11/18

Keywords

  • Background Subtraction
  • Overhead Camera
  • Person Counting
  • Person Detection

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