Assisting video surveillance in micro-spatial environments with a GIS approach

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.