SPECIAL ISSUE PAPER

Machine Vision and Applications

, Volume 19, Issue 5, pp 345-357

First online:

Crowd analysis: a survey

  • Beibei ZhanAffiliated withDigital Imaging Research Centre, Kingston University
  • , Dorothy N. MonekossoAffiliated withDigital Imaging Research Centre, Kingston University
  • , Paolo RemagninoAffiliated withDigital Imaging Research Centre, Kingston University Email author 
  • , Sergio A. VelastinAffiliated withDigital Imaging Research Centre, Kingston University
  • , Li-Qun XuAffiliated withResearch and Venturing, BT Group PLC

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Abstract

In the year 1999 the world population reached 6 billion, doubling the previous census estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for world population showing a projected growth to 9.4 billion by 2050 (US Census Bureau, http://​www.​census.​gov/​ipc/​www/​worldpop.​html). Different research disci- plines have studied the crowd phenomenon and its dynamics from a social, psychological and computational standpoint respectively. This paper presents a survey on crowd analysis methods employed in computer vision research and discusses perspectives from other research disciplines and how they can contribute to the computer vision approach.

Keywords

Crowd studies Crowd dynamics Socio-dynamics Crowd simulations Computer vision