摘要
随着中国火车的不断提速,为了保证铁路沿线人民的生命财产安全,提出一种基于视频图像处理的方法实现对于行人穿越铁路线的监控。首先,从动态场景中提取出静态铁路沿线的状态即背景提取;然后对视场中的危险区域进行划定;其次,当监控区域存在危险情况时系统能够对当前图像实时保存;最后,对保存到的图像进行目标识别。视频处理结果为系统可以自动的检测到穿越铁路线的行人并以图片的方式保存当时的现场信息。实验结果表明了这一方法的有效性,整个算法设计具有一定的可行性和参考价值。创新性在于通过图像处理的方法实现了对行人穿越铁路线的监控。
With the continuous enhanced velocity of Chinese train, for assuring the security of people's life estate on the railway,A method based on video image processing that realizes monitoring on foot passenger for traversing the railroad is introduced. Firstly,the state of static railway is picked - up from dynamic scene namely background extraction. Then, the region in hazard is demarcated in field of view. Thirdly, when the monitoring region is in dangerous case, system can conserve present image in realtime. Finally, system may achieve object identification for the conserved images. The video processing results are that this system could detect passerby automatically who is going through the railway and could conserve present field information by the picture. The validity of this method is proved by experimental results, the whole arithmetic design is provided with certain feasibility, it has definite reference values. It can supervise people's behavior of traversing railway by right of image processing.
出处
《现代电子技术》
2009年第17期162-164,共3页
Modern Electronics Technique
关键词
视频
监控
背景
目标识别
video
monitoring
background
object identification