Crowd density analysis with marked point processes

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Abstract

The abundance of video footage from surveillance systems in public spaces has become a driving force for advances in crowd image analysis. Of particular interest is crowd density analysis, where the goal is to detect and count people in a crowded scene. This is a challenging problem for a human observer when large numbers of constantly moving individuals are present. It is therefore desirable to have computational assets that can assist security personnel for real-time crowd monitoring. Automated analysis holds the potential to increase situational awareness for crowd control and public safety by providing real-time estimates of the number of people entering or exiting a venue.

Original languageEnglish (US)
Article number5562669
Pages (from-to)107-111+123
JournalIEEE Signal Processing Magazine
Volume27
Issue number5
DOIs
StatePublished - Sep 2010

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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