Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition

该项目提出了一种利用模式识别和计算智能技术来识别路边火灾风险的新方法。这些视频数据每年在昆士兰的每条州道上收集，有可能为更安全的道路提供一系列增值产品。该项目旨在开发识别路边物体的新技术，以便能够自动分析数据，从而能够估计火灾危险因素。最终成果是用于分割和分类路边物体以及估计火灾风险因素的技术。

This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside objects so that the data can be automatically analysed allowing the estimation of fire risk factors. The final outcome intends to be techniques for segmentation and classification of roadside objects and estimation of fire risk factors.