He Wang

He Wang is an Associate Professor in University of Leeds

  • HOME
  • Publications
  • Research
  • Funding
  • Teaching
  • About
Path Patterns: Analyzing and Comparing Real and Simulated Crowds
ACM I3D 2016 with IEEE TVCG Referral
IEEE TVCG 2016
He Wang1 Jan Ondrej2 Carol O'Sullivan2
University of Leeds, UK1 Trinity Colledge Dublin, Ireland2

Abstract

We propose the very first semantic-level crowd evaluation metric in this paper. Crowd simulation has been an active and important area for several decades. However, only recently has there been an increased focus on evaluating the fidelity of the results with respect to real-world situations. The focus to date has been on analyzing the properties of low-level features such as pedestrian trajectories, or global features such as crowd densities. We propose the first approach based on finding semantic information represented by latent Path Patterns in both real and simulated data in order to analyze and compare them. Unsupervised clustering by non-parametric Bayesian inference is used to learn the patterns, which themselves provide a rich visualization of the crowd's behaviors. To this end, we present a new Stochastic Variational Dual Hierarchical Dirichlet Process (SV-DHDP) model. The fidelity of the patterns is then computed with respect to a reference, thus allowing the outputs of different algorithms to be compared with each other and/or with real data accordingly. Detailed evaluations and comparisons with existing metrics show that our method is a good alternative for comparing crowd data at a different level and also works with more types of data, holds fewer assumptions and is more robust to noises.

Resources

Downloads

PDF (Trending Paths: A New Semantic-level Metric for Comparing Simulated and Real Crowd Data)
PDF (Path Patterns: Analyzing and Comparing Real and Simulated Crowds)
Video     Supplement

Bibtex

@article{wang_trending_2016,
author={Wang, He and Ond{\v{r}}ej, Jan and O'Sullivan, Carol},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={Trending Paths: A New Semantic-level Metric for Comparing Simulated and Real Crowd Data},
year={2016},
volume={PP},
number={99},
pages={1-1},
}

@inproceedings{wang_path_2016,
title={Path Patterns: Analyzing and Comparing Real and Simulated Crowds},
author={Wang, He and Ond{\v{r}}ej, Jan and O'Sullivan, Carol},
booktitle={ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2016},
pages={49--57},
year={2016},
}

Copyright 2016 He Wang