Intruder alert! detecting and classifying events in noisy time series

该项目旨在解决边界安全系统产生的噪声时间序列中的入侵事件的自动早期检测和分类方面的数学挑战。该项目希望开发出稳健的方法来检测不同操作环境下的入侵事件，同时忽略滋扰事件。该项目将提升澳大利亚安全行业的全球竞争力，并能够改进噪声时间序列中的事件检测和分类，从而使国家安全以外的许多关键应用领域受益。

This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enable improved event detection and classification in noisy time series to the benefit of many critical application areas beyond national security.