CrowdVis: a framework for real time crowd visualization

  • Authors:
  • Henry Braun;Vinícius Jurinic Cassol;Rafael Hocevar;Fernando Pinho Marson;Soraia Raupp Musse

  • Affiliations:
  • FACIN-PUCRS;FACIN - PUCRS;FACIN-PUCRS;FACIN-PUCRS;FACIN-PUCRS

  • Venue:
  • Proceedings of the 28th Annual ACM Symposium on Applied Computing
  • Year:
  • 2013

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Abstract

Crowd visualization is present mostly in digital games and computer animated movies, but are also observed in simulations and virtual reality applications. In crowd simulations we should represent the behavior of agents given different scenarios, and also, such simulations can be provided by different softwares and tools. This paper presents a framework for real time crowd visualization, that no programming knowledge and modeling skills are required from the users. Our main goal is to be able to visualize previously created crowd simulations in real time, combining rendering techniques and providing easy support for managing the scene and the virtual humans.