Machine Vision and Applications

, Volume 19, Issue 5, pp 345–357

Crowd analysis: a survey

  • Beibei Zhan
  • Dorothy N. Monekosso
  • Paolo Remagnino
  • Sergio A. Velastin
  • Li-Qun Xu
SPECIAL ISSUE PAPER

DOI: 10.1007/s00138-008-0132-4

Cite this article as:
Zhan, B., Monekosso, D.N., Remagnino, P. et al. Machine Vision and Applications (2008) 19: 345. doi:10.1007/s00138-008-0132-4

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 studiesCrowd dynamicsSocio-dynamicsCrowd simulationsComputer vision

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Beibei Zhan
    • 1
  • Dorothy N. Monekosso
    • 1
  • Paolo Remagnino
    • 1
  • Sergio A. Velastin
    • 1
  • Li-Qun Xu
    • 2
  1. 1.Digital Imaging Research CentreKingston UniversityKingston upon ThamesUK
  2. 2.Research and VenturingBT Group PLCLondonUK