基于视觉感知机理的林火视频识别模型研究

项目名称： 基于视觉感知机理的林火视频识别模型研究

项目编号： No.31200496

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 林学

项目作者： 赵亚琴

作者单位： 南京林业大学

项目金额： 22万元

中文摘要： 由于林区范围巨大，人为火情存在视野狭窄，主观麻痹大意等诸多不利因素，因此，森林火灾视频监控系统已广泛应用于林火监测中，火情自动识别也成为森林防火领域的研究热点之一。但如何从数据量巨大的快速传输视频中准确高效地识别火情，仍然是视频监控系统面临的重大难题，因此，本课题拟研究面向森林火灾视频监控系统的高效的火情识别新方法。本课题研究特色主要有：一是拟在视频片段大粒度下,基于时空特征和运动特征提取火焰特征向量和烟雾特征向量，避免气候、环境条件的影响。二是建立林火视频的本体描述模型，将人脑对视频的"认知"过程转换为"本体描述"的概念框架。三是尝试建立一个基于视觉感知机理的林火视频识别模型，及时准确地对林火监控视频进行自动火情识别，而且该模型还可以应用于林火视频片段检索和索引档案的建立。因此，本课题的研究内容是林火无线视频监控系统迫切需要解决的关键问题，具有广阔的应用前景。

中文关键词： 时空特征；视觉感知机理；语义特征；森林火灾视频识别模型；森林火灾视频描述模型

英文摘要： Due to large forestry area, many disadvantageous factors such as narrow vision and subjective carelessness exist in the process of artifical fire monitoring.Therefore, video surveillance system is widely used in the field of forest fire monitoring, and automatic recognition of forest fire is becoming one of the hot topics in the field of fire warning. But the major difficult problem that fire video surveillance system is how to efficiently detect fire video clip from huge sum of fire video of rapid transmission, so the project plans to study a new fire recognition method for forest fire surveillance syetem. The main characteristics are as follows. The first is the extraction of flame feature vector and smoke feature vector based on motion, temporal and spatial features from forest fire video clip for the purpose of avoiding the influence of environment and weather. The second is the establishment of the forest fire video description model based on ontology. The description model can convert the course of human cognition of fire video into the conceptual framework of ontology description. The third is the establishment of a forest fire recognition model on the basis of visual perception mechanism. The model will detect fire timely and accurately for forest fire video surveillance system, and furthermore, it can b

英文关键词： spatial-temporal features；Visual perception mechanism；semantic features；forest fire video recognition model；descriptive model of forest fire video