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Traffic congestion monitoring is being more and important with the enlarging of urban scale and increasing number of vehicles. Video-based traffic congestion monitoring systems are widely used now but it relies on the high performance of hardware. We analyze the procedure of video-based traffic congestion system and divide it into graying, binarization, denosing and moving target detection. The system...
Road intersections in aerial images could provide lots of geography information, and thus are very valuable for navigation systems, e.g. cruise missile or UAV (unmanned Aerial Vehicle) navigation system. However, there are few algorithms presented to exactly locate road intersections, and mostly the computational costs of them are very expensive, which can not meet the on-line processing requirement...
In aerial images, road network is the most salient artificial object, and could provide lots of geographical information. Thus it is very valuable for navigation systems,e.g. cruise missile or UAV(unmanned Aerial Vehicle) navigation system. With the presence of GIS in which road network is also the most common data, the position of aerial image can be located by matching it with a model generated...
The importance of effective and efficient traffic congestion monitoring grows with the enlarging of urban scale and increasing number of vehicles. We develop a traffic congestion monitoring system which is based on adaptive background subtraction. The system reads real time monitoring video from communications department and converts it into images. After that, we change them into corresponding gray...
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