Crowd analysis: a survey

Authors:
Beibei Zhan;Dorothy N. Monekosso;Paolo Remagnino;Sergio A. Velastin;Li-Qun Xu
Affiliations:
Kingston University, Digital Imaging Research Centre, Kingston upon Thames, UK;Kingston University, Digital Imaging Research Centre, Kingston upon Thames, UK;Kingston University, Digital Imaging Research Centre, Kingston upon Thames, UK;Kingston University, Digital Imaging Research Centre, Kingston upon Thames, UK;BT Group PLC, Research and Venturing, London, UK
Venue:
Machine Vision and Applications
Year:
2008

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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.