Understanding the crowd - improving accuracy in collective motion theory

了解人群——提高集体运动理论的准确性

• 批准号: DP160103905
• 负责人: Prof Ashley Ward
• 金额: $ 23.11万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-03-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160103905
• 关键词: Understanding; crowd; improving; accuracy; collective

This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, modelling and analysis to systematically determine the influence that different movement parameters have on rules of motion and how rules of motion are affected by group size. It aims to develop a framework for analysis and modelling built on the visual perception of individuals.

该项目旨在开发更准确的方法来预测大群体的运动。在大型动物群体中看到的令人惊叹的协调运动是由个体之间简单的相互作用控制的，称为运动规则。2011年，开发了从视频跟踪数据中估计单个运动规则的技术。该项目计划在这些突破的基础上，利用先进的跟踪、建模和分析，系统地确定不同的运动参数对运动规则的影响，以及运动规则如何受到群体大小的影响。它的目的是建立一个基于个人视觉感知的分析和建模框架。