• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Academic Conference on Frontiers in Social Sciences and Management Innovation >Application of Neural Network in Image Detection of Illegal Billboards
【24h】

Application of Neural Network in Image Detection of Illegal Billboards

机译：神经网络在非法广告牌图像检测中的应用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In recent years, urban management is gradually developing towards informationization. There are corresponding processing mechanisms for illegal billboards and illegal parking in urban management, but the method of detecting illegal billboards based on machine vision is still under study. At present, the automatic detection method of illegal billboards based on machine vision is generally carried out under ideal conditions, and the experiment is carried out under a simple background. This paper takes a street in Hebei Province as the research object, and studies the illegal billboard area under natural conditions, and proposes to use the machine vision-based method to automatically detect the illegal billboards. In the surveillance image, according to the street scene detected by the computer. Image information enables status evaluation of billboard placement. The detection algorithm of this paper uses the multi-angle suggestion area to accurately locate the illegal billboards in the image, and mark the detected billboards. Compared with the direct detection of the billboard in the image, the interference of the background factor on the target area is removed, and the false detection rate is effectively reduced. In billboard detection, this paper proposes an improved region suggestion algorithm to generate higher quality candidate regions in an image for adapting to billboards of various poses under natural conditions. Experimental data shows that the algorithm has good adaptability to the detection of billboards in surveillance images.
机译：近年来，城市管理层逐步发展信息化。在城市管理中有非法广告牌和非法停车的相应加工机制，但仍在研究基于机器视觉的非法广告牌的方法。目前，基于机器视觉的非法广告牌的自动检测方法通常在理想条件下进行，实验在简单的背景下进行。本文占据了河北省的街道作为研究对象，并在自然条件下研究非法广告牌面积，并建议使用基于机器视觉的方法来自动检测非法广告牌。在监控图像中，根据计算机检测到的街景。图像信息可以实现广告牌放置的状态评估。本文的检测算法使用多角度建议区域来准确地定位图像中的非法广告牌，并标记检测到的广告牌。与图像中的广告牌的直接检测相比，去除了背景系数对目标区域的干扰，并且有效地减少了假检测率。在广告牌检测中，本文提出了一种改进的区域建议算法，以在自然条件下在图像中产生更高质量的候选地区以适应各种姿势的广告牌。实验数据表明该算法对监视图像中的广告牌检测具有良好的适应性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号