Crowds by example
Crowds by example
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DOI：
10.1111/j.1467-8659.2007.01089.x
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发表时间：
2007-01-01
影响因子：
2.5
通讯作者：
Lischinski, Dani
中科院分区：
文献类型：
--
作者：
Lerner, Alon;Chrysanthou, Yiorgos;Lischinski, Dani
我们提出了一个基于实例的人群模拟技术。大多数群体模拟技术都假设群体中每个人所表现出的行为可以由一组受限的规则来定义。这个假设限制了模拟代理的行为复杂性。通过从真实世界的例子中学习，我们的自主代理显示出复杂的自然行为，这些行为在人群模拟中经常缺失。示例是从真实的行人人群的跟踪视频片段创建的。在模拟过程中，自治代理搜索与他们所面临的情况密切匹配的示例。真实的人在类似情况下所采取的轨迹被复制到模拟代理，导致看似自然的行为。
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 arc 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.