Crowds by example

Alon Lerner*, Yiorgos Chrysanthou, Dani Lischinski

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

815 Scopus citations


We present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restricted set of rules. This assumption limits the behavioral complexity of the simulated agents. By learning from real-world examples, our autonomous agents display complex natural behaviors that are often missing in crowd simulations. Examples are created from tracked video segments of real pedestrian crowds. During a simulation, autonomous agents search for examples that closely match the situation that they are facing. Trajectories taken by real people in similar situations, are copied to the simulated agents, resulting in seemingly natural behaviors.

Original languageAmerican English
Pages (from-to)655-664
Number of pages10
JournalComputer Graphics Forum
Issue number3
StatePublished - Sep 2007


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