面向山区铁路异物侵限监测的压缩感知视频图像处理方法研究

项目名称： 面向山区铁路异物侵限监测的压缩感知视频图像处理方法研究

项目编号： No.61261040

项目类型： 地区科学基金项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 罗晖

作者单位： 华东交通大学

项目金额： 43万元

中文摘要： 我国大部分铁路都分布于山区地带，而山区铁路异物侵限事件频发，对铁路安全运行造成重大威胁；无线多媒体传感器网络感知信息丰富，能实现全方位视频监测。将无线多媒体传感器网络应用于山区铁路异物侵限监测的优势明显，但存在着传输数据量大且网络能量受限的局限性。 本项目在深入研究山区铁路异物侵限多发地段场景特征的基础上，借鉴压缩感知理论，对场景视频图像特征进行充分的稀疏表示，以减少处理的数据量、延长网络生命周期；在稀疏表示的基础上，研究视频图像融合、去噪及重构方法，以获取高质量的视频图像、实现山区铁路异物侵限可靠监测；建立仿真实验系统，实现对研究成果的验证和优化。本项目旨在将压缩感知和视频图像处理充分结合，有效地获取高质量视频图像。 项目完成后，将为无线多媒体传感器网络中视频图像处理及山区铁路异物侵限监测提供理论依据与技术支持，为实现针对山区铁路异物侵限多发地段的全天候、全方位实时监测奠定良好基础。

中文关键词： 压缩感知；图像处理；传感器网络；异物侵限监测；

英文摘要： Most of the railways are located in the mountainous areas in our country. Due to its frequent occurrence, railway foreign invasion has become a big threat to the traffic safety. With the ability of perceiving rich multimedia information and realizing a full range of video monitoring, Wireless Multimedia Sensor Networks is highly suitable for railway foreign invasion monitoring, while it is challenged by the limitation of data transmission and network energy. Based on the research of characteristics of geographical environment in the critical areas of mountainous railways, this project firstly employs the theory of compressed sensing and completes the sparse representation about the characteristics of video image to decrease transferred data and prolong the life-cycle of WMSN. Taking the sparsity as the foundation, the combined method of video images fusion, denoising and reconstruction is studied to obtain high-quality video images to monitor railway foreign invasion in mountainous areas. At last, the simulated experiment system will be established to verify and optimize the achievement of the study. The project aims to combine the compressed sensing with video image processing so as to get high quality video images. When this project is accomplished, it can provide a theoretical basis and technical support for

英文关键词： Compressed Sensing；Image processing；Sensor Network；Foreign Invasion Monitoring；