Counting people in groups

Duc Fehr, Ravishankar Sivalingam, Vassilios Morellas, Nikolaos Papanikolopoulos, Osama Lotfallah, Youngchoon Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Scopus citations

Abstract

Cameras are becoming a common tool for automated vision purposes due to their low cost. In an era of growing security concerns, camera surveillance systems have become not only important but also necessary. Algorithms for several tasks such as detecting abandoned objects and tracking people have already been successfully developed. While tracking people is relatively easy, counting people in groups is much more challenging. The mutual occlusions between people in a group make it difficult to provide an exact count. The aim of this work is to present a method of estimating the number of people in group scenarios. Several considerations for counting people are illustrated in this paper, and experimental results of the method are described and discussed.

Original languageEnglish (US)
Title of host publication6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
Pages152-157
Number of pages6
DOIs
StatePublished - 2009
Event6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009 - Genova, Italy
Duration: Sep 2 2009Sep 4 2009

Publication series

Name6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009

Other

Other6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
CountryItaly
CityGenova
Period9/2/099/4/09

Keywords

  • Background subtraction
  • Crowd counting
  • People counting
  • Pixel layering
  • Shadow removal

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