Abstract: This paper discusses the integration of a geographic information system (GIS) and moving objects in surveillance videos ("moving objects" hereinafter) by using motion detection, spatial mapping, and fusion representation techniques. This integration aims to overcome the limitations of conventional video surveillance systems, such as low efficiency in video searching, redundancy in video data transmission, and insufficient capability to position video content in geographic space. Furthermore, a model for integrating GIS and moving objects is established. The model includes a moving object extraction method and a fusion pattern for GIS and moving objects. From the established integration model, a prototype of GIS and moving objects (GIS-MOV) system is constructed and used to analyze the possible applications of the integration of GIS and moving objects.
Trying to overcome the limitations of conventional video surveillance systems, such as the low efficiency in video searching, redundancy in video data transmission, and insufficient capability to position video content in geographic space, Xie et al. REF proposed the integration of a GIS and moving objects in surveillance videos by using motion detection and spatial mapping.
Integration of GIS and Moving Objects in Surveillance Video
ISPRS Int. J. Geo-Information
ISPRS Int. J. Geo-Information
Geography Computer Science