Real-time system for counting the number of passing people using a single camera

Jae Won Kim, Kang Sun Choi, Byeong Doo Choi, Jae Yong Lee, Sung-Jea Ko

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

In this paper, we propose a real-time people counting system with a single camera for security inside the building. The camera is hung from the ceiling of the door so that the image data of the passing people are not fully overlapped. The implemented system recognizes people movement along various directions. To track people even when their images are partially overlapped, the proposed system analyzes the captured image and estimates important feature information. Then each bounding box enclosing each person in the tracking region are tracked. The convex hull of each individual obtained by the proposed algorithm provides more accurate tracking information. Through extensive tests in various environments, the proposed system exhibits the correct people counting results of over 96%.

Original languageEnglish
Pages (from-to)466-473
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2781
Publication statusPublished - 2003 Dec 1

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Computer Systems
Systems Analysis
Real time systems
Counting
Camera
Cameras
Real-time
Ceilings
Ceiling
Convex Hull
Person
Direction compound
Estimate

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Real-time system for counting the number of passing people using a single camera. / Kim, Jae Won; Choi, Kang Sun; Choi, Byeong Doo; Lee, Jae Yong; Ko, Sung-Jea.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2781, 01.12.2003, p. 466-473.

Research output: Contribution to journalArticle

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