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Open AccessArticle

Integration of Multi-Camera Video Moving Objects and GIS

by Yujia Xie 1, Meizhen Wang 2,3,4,*, Xuejun Liu 2,3,4, Bo Mao 1 and Feiyue Wang 1
1
Key College of Information Engineering, Nanjing University of Finance & Economics, Nanjing 210023, China
2
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
3
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
4
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(12), 561; https://doi.org/10.3390/ijgi8120561
Received: 10 October 2019 / Revised: 26 November 2019 / Accepted: 2 December 2019 / Published: 7 December 2019
This work discusses the integration of multi-camera video moving objects (MCVO) and GIS. This integration was motivated by the characteristics of multi-camera videos distributed in the urban environment, namely, large data volume, sparse distribution and complex spatial–temporal correlation of MCVO, thereby resulting in low efficiency of manual browsing and retrieval of videos. To address the aforementioned drawbacks, on the basis of multi-camera video moving object extraction, this paper first analyzed the characteristics of different video-GIS Information fusion methods and investigated the integrated data organization of MCVO by constructing a spatial–temporal pipeline among different cameras. Then, the conceptual integration model of MCVO and GIS was proposed on the basis of spatial mapping, and the GIS-MCVO prototype system was constructed in this study. Finally, this study analyzed the applications and potential benefits of the GIS-MCVO system, including a GIS-based user interface on video moving object expression in the virtual geographic scene, video compression storage, blind zone trajectory deduction, retrieval of MCVO, and video synopsis. Examples have shown that the integration of MCVO and GIS can improve the efficiency of expressing video information, achieve the compression of video data, rapidly assisting the user in browsing video objects from multiple cameras. View Full-Text
Keywords: geovisualization; GIS; video-GIS; surveillance video; virtual reality geovisualization; GIS; video-GIS; surveillance video; virtual reality
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Xie, Y.; Wang, M.; Liu, X.; Mao, B.; Wang, F. Integration of Multi-Camera Video Moving Objects and GIS. ISPRS Int. J. Geo-Inf. 2019, 8, 561.

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