A statistical similarity measure for aggregate crowd dynamics

Author:

Guy Stephen J.1,van den Berg Jur2,Liu Wenxi3,Lau Rynson3,Lin Ming C.1,Manocha Dinesh1

Affiliation:

1. UNC-Chapel Hill

2. University of Utah

3. City University of Hong Kong

Abstract

We present an information-theoretic method to measure the similarity between a given set of observed, real-world data and visual simulation technique for aggregate crowd motions of a complex system consisting of many individual agents. This metric uses a two-step process to quantify a simulator's ability to reproduce the collective behaviors of the whole system, as observed in the recorded real-world data. First, Bayesian inference is used to estimate the simulation states which best correspond to the observed data, then a maximum likelihood estimator is used to approximate the prediction errors. This process is iterated using the EM-algorithm to produce a robust, statistical estimate of the magnitude of the prediction error as measured by its entropy (smaller is better). This metric serves as a simulator-to-data similarity measurement. We evaluated the metric in terms of robustness to sensor noise, consistency across different datasets and simulation methods, and correlation to perceptual metrics.

Funder

Army Research Office

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference38 articles.

1. Costa P. and McCrae R. 1992. Revised NEO Personality Inventory (NEO PI-R) and Neo Five-Factor Inventory (NEO-FFI). Psychological Assessment Resources. Costa P. and McCrae R. 1992. Revised NEO Personality Inventory (NEO PI-R) and Neo Five-Factor Inventory (NEO-FFI) . Psychological Assessment Resources.

2. Durupinar F. Allbeck J. Pelechano N. and Badler N. 2008. Creating crowd variation with the OCEAN personality model. In Autonomous agents and multiagent systems. Durupinar F. Allbeck J. Pelechano N. and Badler N. 2008. Creating crowd variation with the OCEAN personality model. In Autonomous agents and multiagent systems .

3. Perceptual effects of scene context and viewpoint for virtual pedestrian crowds

4. The Ensemble Kalman Filter: theoretical formulation and practical implementation

5. Cognitive modeling

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