منابع مشابه
Semantic crowds
Recent advances in crowd simulation techniques have led to increasingly realistic agent and group behavior. As many crowd simulation solutions typically target only specific types of environments and scenarios, numerous special-purpose methods and systems have emerged that are unsuitable for other contexts. Solving this situation demands a higher-level approach that takes re-use and re-configur...
متن کاملMorphable Crowds
Figure 1: The synthetic crowds (Right) learned the spatial arrangements and loco-motion styles from the real crowds (Left). These show lining up at a ticket booth (Up) and spectating at a performance (Bottom).
متن کاملFunctional Crowds
Most crowd simulation research either focuses on navigating characters through an environment while avoiding collisions or on simulating very large crowds. Our work focuses on creating populations that inhabit a space as opposed to passing through it. Characters exhibit behaviors that are typical for their setting. We term these populations functional crowds. A key element of this work is ensur...
متن کاملClustering Crowds
We present a clustered personal classifier method (CPC method) that jointly estimates a classifier and clusters of workers in order to address the learning from crowds problem. Crowdsourcing allows us to create a large but low-quality data set at very low cost. The learning from crowds problem is to learn a classifier from such a lowquality data set. From some observations, we notice that worke...
متن کاملCrowds by Example
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 ...
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ژورنال
عنوان ژورنال: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
سال: 2019
ISSN: 2474-9567
DOI: 10.1145/3328930