Do you see groups?: The impact of crowd density and viewpoint on the perception of groups

Agent-based crowd simulation in virtual environments is of great utility in a variety of domains, from the entertainment industry to serious applications including mobile robots and swarms. Many studies of crowd behavior simulations do not consider the fact that people tend to congregate in smaller social gatherings, such as friends, or families, rather than walking alone. Based on a real-time crowd simulator which has been implemented as a unilateral incompressible fluid and augmented with group behaviors, a perceptual study was conducted to determine the impact of groups on the perception of the crowds at various densities from different camera views. If it is not possible to see groups under certain circumstances, then it may not be necessary to simulate them, to reduce the amount of calculations, an important issue in real-time simulations. This study provides researchers with a proper reference to design better algorithms to simulate realistic behaviors.

[1]  Christopher E. Peters,et al.  Modeling Groups of Plausible Virtual Pedestrians , 2009, IEEE Computer Graphics and Applications.

[2]  Michael Wooldridge,et al.  Intelligent agents: theory and practice The Knowledge Engineering Review , 1995 .

[3]  E. Hall,et al.  The Hidden Dimension , 1970 .

[4]  Dirk Helbing,et al.  Dynamics of crowd disasters: an empirical study. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  Fernando Fernández,et al.  Modeling, Evaluation, and Scale on Artificial Pedestrians , 2017, ACM Comput. Surv..

[6]  Wenjian Yu,et al.  Modeling crowd turbulence by many-particle simulations. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Robert T. Collins,et al.  Vision-Based Analysis of Small Groups in Pedestrian Crowds , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  A. Hare,et al.  Handbook of small group research , 1962 .

[9]  John J Fruin,et al.  DESIGNING FOR PEDESTRIANS: A LEVEL-OF-SERVICE CONCEPT , 1971 .

[10]  M. Schreckenberg,et al.  Experimental study of pedestrian counterflow in a corridor , 2006, cond-mat/0609691.

[11]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[12]  Carol O'Sullivan,et al.  Perceptually plausible formations for virtual conversers , 2012, Comput. Animat. Virtual Worlds.

[13]  John James,et al.  The Distribution of Free-Forming Small Group Size , 1953 .

[14]  Dinesh Manocha,et al.  Interactive navigation of multiple agents in crowded environments , 2008, I3D '08.

[15]  Christopher E. Peters,et al.  Perceptual effects of scene context and viewpoint for virtual pedestrian crowds , 2011, TAP.

[16]  Roger L. Hughes,et al.  A continuum theory for the flow of pedestrians , 2002 .

[17]  Ming C. Lin,et al.  Aggregate dynamics for dense crowd simulation , 2009, ACM Trans. Graph..

[18]  Rafael Bidarra,et al.  From Their Environment to Their Behavior: A Procedural Approach to Model Groups of Virtual Agents , 2012, IVA.

[19]  M. Schreckenberg,et al.  Experimental study of pedestrian flow through a bottleneck , 2006, physics/0610077.

[20]  A. Aveni The not-so-lonely crowd: Friendship groups in collective behavior. , 1977 .

[21]  Robert T. Collins,et al.  Automatically detecting the small group structure of a crowd , 2009, 2009 Workshop on Applications of Computer Vision (WACV).

[22]  Hyun Seung Yang,et al.  Safe Navigation of Pedestrians in Social Groups in a Virtual Urban Environment , 2014, 2014 International Conference on Cyberworlds.

[23]  Wei Lv,et al.  Survey study and experimental investigation on the local behavior of pedestrian groups , 2015, Complex..

[24]  Nancy M. Amato,et al.  MAPRM: a probabilistic roadmap planner with sampling on the medial axis of the free space , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[25]  Lorenza Manenti,et al.  Data Collection for Modeling and Simulation: Case Study at the University of Milan-Bicocca , 2012, ACRI.

[26]  D. Helbing,et al.  The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics , 2010, PloS one.

[27]  J. Drury,et al.  Modelling subgroup behaviour in crowd dynamics DEM simulation , 2009 .

[28]  Kincho H. Law,et al.  A Multi-Agent Based Simulation Framework for the Study of Human and Social Behavior in Egress Analysis , 2005 .

[29]  John James,et al.  The Equilibrium Size Distribution of Freely-Forming Groups , 1961 .