Title :
Generating Freestyle Group Formations in Agent-Based Crowd Simulations
Author :
Qin Gu ; Zhigang Deng
Abstract :
Few crowd simulation algorithms take collective group features such as group formations into consideration. Recent approaches often manually specify hard constraints such as predefined keyframe agent formations and interpolate them during the simulation. A proposed interactive, scalable framework generates freestyle group formations and transitions via natural and flexible sketching interaction. It automatically computes a plausible agent distribution in the target formation and agent correspondences between keyframes. In addition, two-level formation trajectory control lets users intuitively guide agents´ transition paths from the initial formation to the target formation. In experiments, the framework efficiently generated formations on the fly while providing sufficiently flexible control to users.
Keywords :
computer graphics; multi-agent systems; user interfaces; agent-based crowd simulation; crowd simulation algorithm; freestyle group formation; freestyle group transition; keyframe agent formation; plausible agent distribution; sketching interaction; two-level formation trajectory control; user interaction; Computational modeling; Crowd simulation; Painting; Shape analysis; Simulation; Solid modeling; Trajectory; Computational modeling; Crowd simulation; Painting; Shape analysis; Simulation; Solid modeling; Trajectory; agent-based simulation; computer graphics; crowd animation; group formation; sketching control;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2011.87