The integration of intelligent video surveillance and GIS (geograhical information system) data provides a new opportunity for monitoring and protecting cultivated land. For a GIS-based video monitoring system, the prerequisite is to align the GIS data with video image. However, existing methods or systems have their own shortcomings when implemented in monitoring cultivated land. To address this problem, this paper aims to propose an accurate matching method for projecting vector data into surveillance video, considering the topographic characteristics of cultivated land in plain area. Once an adequate number of control points are identified from 2D (two-dimensional) GIS data and the selected reference video image, the alignment of 2D GIS data and PTZ (pan-tilt-zoom) video frames can be realized by automatic feature matching method. Based on the alignment results, we can easily identify the occurrence of farmland destruction by visually inspecting the image content covering the 2D vector area. Furthermore, a prototype of intelligent surveillance video system for cultivated land is constructed and several experiments are conducted to validate the proposed approach. Experimental results show that the proposed alignment methods can achieve a high accuracy and satisfy the requirements of cultivated land monitoring.

中文翻译：

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一种将矢量数据投影到监控视频中以监控和保护耕地的精确匹配方法

智能视频监控和GIS（地理信息系统）数据的集成为监视和保护耕地提供了新的机会。对于基于GIS的视频监视系统，先决条件是将GIS数据与视频图像对齐。但是，现有的方法或系统在监测耕地时有其自身的缺点。为了解决这个问题，本文旨在考虑平原地区耕地的地形特征，提出一种将矢量数据投影到监控视频中的精确匹配方法。一旦从2D（二维）GIS数据和选定的参考视频图像中识别出足够数量的控制点，就可以通过自动特征匹配方法实现2D GIS数据与PTZ（云台缩放）视频帧的对齐。 。根据对齐结果，我们可以通过目视检查覆盖2D矢量区域的图像内容来轻松识别农田破坏的发生。此外，构建了耕地智能监控视频系统的原型，并进行了一些实验以验证该方法。实验结果表明，所提出的对中方法能够达到较高的精度，满足耕地监测的要求。