Effective bi-directional people flow counting for real time surveillance system

Kin Yi Yam, Wan Chi Siu, Ngai Fong Law, Chok Ki Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

25 Citations (Scopus)

Abstract

In this paper, an object based bi-directional counting system is proposed, which comprises of an advanced object detection and tracking algorithm to count the people flow in the monitoring scene. The result of which shows that the approach can provide about 90% accuracy for bi-directional people counting with an angle of 45° to the scene.
Original languageEnglish
Title of host publication2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Pages863-864
Number of pages2
DOIs
Publication statusPublished - 28 Mar 2011
Event2011 IEEE International Conference on Consumer Electronics, ICCE 2011 - Las Vegas, NV, United States
Duration: 9 Jan 201112 Jan 2011

Conference

Conference2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Country/TerritoryUnited States
CityLas Vegas, NV
Period9/01/1112/01/11

Keywords

  • Bi-directional counting
  • Counting algorithm
  • Scene calibration and object detection
  • Surveillance system

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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