Paper
4 August 2007 Assisting video surveillance in micro-spatial environments with a GIS approach
Xiang Li, Xihui Zhang, Lu Tan
Author Affiliations +
Abstract
The paper presents a GIS-based approach to assisting video surveillance in micro-spatial environments, such as inside a building. The approach consists of a node-arc network model representing the accessibility in a building and a topological data structure maintaining the locational relationships among the accessibility network, accessible places, and cameras' FOV (field of vision). Human walking behavior is considered in order to determine the spatial extent of nodes and arcs in the accessibility network. Different measures are employed to deal with some special scenarios in a building, such as spaces between two floors and large open spaces. Based on the network model and the data structure, a number of applications can be realized. One of them elaborated in the paper is to quickly locate suspicious moving objects. Besides the procedure, a detailed description is given to explain how to implement the procedure and how to link the above research output to monitors and cameras.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiang Li, Xihui Zhang, and Lu Tan "Assisting video surveillance in micro-spatial environments with a GIS approach", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 675402 (4 August 2007); https://doi.org/10.1117/12.764565
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CITATIONS
Cited by 5 scholarly publications and 11 patents.
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KEYWORDS
Cameras

Data modeling

Geographic information systems

Information security

Video surveillance

Environmental monitoring

Network security

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