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ISPRS Int. J. Geo-Inf. 2017, 6(4), 94; doi:10.3390/ijgi6040094

Integration of GIS and Moving Objects in Surveillance Video

1,2,3
,
1,2,3,* , 1,2,3,* and 1,2,3
1
Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
2
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
3
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
Received: 6 January 2017 / Revised: 18 March 2017 / Accepted: 19 March 2017 / Published: 24 March 2017

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. View Full-Text
Keywords: GIS; GeoVideo; video GIS; surveillance video; moving objects GIS; GeoVideo; video GIS; surveillance video; moving objects
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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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