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Integration of GIS and Moving Objects in Surveillance Video

1,2,3, 1,2,3,*, 1,2,3,* and 1,2,3
Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Authors to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2017, 6(4), 94;
Received: 6 January 2017 / Revised: 18 March 2017 / Accepted: 19 March 2017 / Published: 24 March 2017
PDF [10870 KB, uploaded 24 March 2017]


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. View Full-Text
Keywords: GIS; GeoVideo; video GIS; surveillance video; moving objects GIS; GeoVideo; video GIS; surveillance video; moving objects

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Xie, Y.; Wang, M.; Liu, X.; Wu, Y. Integration of GIS and Moving Objects in Surveillance Video. ISPRS Int. J. Geo-Inf. 2017, 6, 94.

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