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

本项目提出了一种利用模式识别和计算智能技术识别路边火灾风险的新方法。视频数据每年在昆士兰州的每条州公路上收集，并有可能为更安全的道路提供一系列增值产品。该计划旨在发展识别路边物体的新技术，以便自动分析数据，从而估计火灾风险因素。最后的成果将是路边物体的分割和分类技术以及火灾危险因素的估计。

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.