Abstract
Nowadays a great number of cameras have been installed in cities and generate tremendous video data every day. To manage the fragmented video data generated by these independent cameras, this paper designs and implements an integrated system of video surveillance and GIS. Using the advantages of GIS in geographical space, the system can manage the tremendous cameras and video data from both space and time aspects. In terms of space, the spatial distribution and monitoring range of the cameras can be displayed on the GIS map, and the layout density of the cameras can be provided. More importantly, combining the road network and the locations of cameras, the system can obtain the accurate topological relationship between cameras, which includes the reachability of the road network and the actual distance between cameras. In terms of time, the transition time between cameras can be acquired based on the topological relationship, and the spatial-temporal relationship between the various videos of different cameras can be established. The experimental results prove that the system can manage the independent cameras and the fragmented video data effectively.
| Original language | English |
|---|---|
| Article number | 022088 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 170 |
| Issue number | 2 |
| DOIs | |
| State | Published - 17 Jul 2018 |
| Event | 2018 2nd International Symposium on Resource Exploration and Environmental Science, REES 2018 - Ordos, China Duration: 28 Apr 2018 → 29 Apr 2018 |
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