Directing Crowd Simulations Using Navigation Fields

  • Authors:
  • Sachin Patil;Jur van den Berg;Sean Curtis;Ming C. Lin;Dinesh Manocha

  • Affiliations:
  • University of North Carolina at Chapel Hill, Chapel Hill;University of California Berkeley, Berkeley;University of North Carolina at Chapel Hill, Chapel Hill;University of North Carolina at Chapel Hill, Chapel Hill;University of North Carolina at Chapel Hill, Chapel Hill

  • Venue:
  • IEEE Transactions on Visualization and Computer Graphics
  • Year:
  • 2011

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Abstract

We present a novel approach to direct and control virtual crowds using navigation fields. Our method guides one or more agents toward desired goals based on guidance fields. The system allows the user to specify these fields by either sketching paths directly in the scene via an intuitive authoring interface or by importing motion flow fields extracted from crowd video footage. We propose a novel formulation to blend input guidance fields to create singularity-free, goal-directed navigation fields. Our method can be easily combined with the most current local collision avoidance methods and we use two such methods as examples to highlight the potential of our approach. We illustrate its performance on several simulation scenarios.