监控视频中动态目标与地理空间信息的融合与可视化方法

监控视频的动态前景目标智能分析是平安城市、智慧园区等安防建设的重要基础,将监控视频与地理空间数据融合可为静态的地理数据赋予动态属性。针对传统监控视频与地理信息数据集成仅仅将视频数据投射至地理空间,造成存储难、视频内容理解难度大等问题,本文提出了前景动态目标与地理空间信息的融合模型,通过推导出的映射模型将图像空间中的动态前景目标及跟踪轨迹映射至地理空间中,达到将监控视频与地理信息有机融合的目的。根据不同的应用需求,本文设计了4种多图层融合显示模式,实现了监控视频中的动态前景目标在地理空间的可视化。

Fusion and visualization method of dynamic targets in surveillance video with geospatial information

The dynamic foreground target analysis of surveillance video is an important basis for security construction in safe cities and smart campuses. The dynamic attributes can be assigned to static geographic data by integrating surveillance video with geospatial data. For the integration of traditional surveillance video and geographic information data, only video data is projected into geospatial, which causes storage issue and difficult in understanding video content. The model that integrates geographic information and foreground dynamic targets, and integrates surveillance video with geographic information is proposed in this paper. And the dynamic foreground target and the tracking trajectory in the image are projected into the geospatial by the derived mapping model. The multi-layer fusion mode is utilized to distribute the video dynamic summary content in geospatial space.