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: Chapter in Book/Report/Conference proceedingChapter

20 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
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsBernd Michaelis, Gerald Krell
PublisherSpringer Verlag
Pages466-473
Number of pages8
ISBN (Print)3540408614
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2781
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kim, J. W., Choi, K. S., Choi, B. D., Lee, J. Y., & Ko, S. J. (2003). Real-time system for counting the number of passing people using a single camera. In B. Michaelis, & G. Krell (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 466-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2781). Springer Verlag. https://doi.org/10.1007/978-3-540-45243-0_60