{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:37:43Z","timestamp":1787312263669,"version":"build-2736575974"},"reference-count":41,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T00:00:00Z","timestamp":1490313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Sustainable Construction of Advantageous Subjects in Jiangsu Province","award":["164320H116"],"award-info":[{"award-number":["164320H116"]}]},{"name":"National Natural Science Foundation of China (NSFC): Research on Three-Dimensional Spatial Coverage Model of Video Surveillance","award":["41401442"],"award-info":[{"award-number":["41401442"]}]},{"name":"National High Technology Research and Development Program (863 Program)","award":["2015AA123901"],"award-info":[{"award-number":["2015AA123901"]}]},{"name":"A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This paper discusses the integration of a geographic information system (GIS) and moving objects in surveillance videos (\u201cmoving objects\u201d 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\u2013MOV) system is constructed and used to analyze the possible applications of the integration of GIS and moving objects.<\/jats:p>","DOI":"10.3390\/ijgi6040094","type":"journal-article","created":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T11:38:27Z","timestamp":1490355507000},"page":"94","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Integration of GIS and Moving Objects in Surveillance Video"],"prefix":"10.3390","volume":"6","author":[{"given":"Yujia","family":"Xie","sequence":"first","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8532-2196","authenticated-orcid":false,"given":"Meizhen","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuejun","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiguang","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,3,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.patrec.2012.07.005","article-title":"Intelligent multi-camera video surveillance: A review","volume":"34","author":"Wang","year":"2013","journal-title":"Pattern Recognit. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Lewis, J. (2006, February 15). Open Geospatial Consortium Geo-Video Web Services. Available online: http:\/\/www.opengeospatial.org\/legal\/.","DOI":"10.62973\/05-115"},{"key":"ref_3","unstructured":"Cheng, Y., Lin, K., Chen, Y., Tarng, J., Yuan, C., and Kao, C. (April, January 30). Accurate planar image registration for an integrated video surveillance system. Proceedings of the IEEE Workshop on Computational Intelligence for Visual Intelligence, Nashville, TN, USA."},{"key":"ref_4","first-page":"109","article-title":"Design and implementation of a fused system with 3DGIS and multiple-videos","volume":"29","author":"Ma","year":"2012","journal-title":"Comput. Appl. Softw."},{"key":"ref_5","first-page":"133","article-title":"Design of Geo Video Data Model and Implementation of Web-Based VideoGIS","volume":"35","author":"Kong","year":"2010","journal-title":"Geomat. Inf. Sci. Wuhan Univ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"29","DOI":"10.5194\/isprsannals-II-4-W2-29-2015","article-title":"An Adaptive Organization Method of Geovideo Data for Spatio-Temporal Association Analysis","volume":"2","author":"Wu","year":"2015","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_7","first-page":"2089","article-title":"Integration of GIS and video surveillance","volume":"30","year":"2016","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_8","first-page":"1321","article-title":"A taxonomy of mixed reality visual displays","volume":"77","author":"Milgram","year":"1994","journal-title":"IEICE Trans. Inf. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.cviu.2013.12.005","article-title":"A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos","volume":"122","author":"Sobral","year":"2014","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.cosrev.2014.04.001","article-title":"Traditional and recent approaches in background modeling for foreground detection: An overview","volume":"11","author":"Bouwmans","year":"2014","journal-title":"Comput. Sci. Rev."},{"key":"ref_11","unstructured":"Lipton, A.J., Fujiyoshi, H., and Patil, R.S. (1998, January 19\u201321). Moving target classification and tracking from real-time video. Proceedings of the 4th IEEE Workshop on Applications of Computer Vision, Princeton, NJ, USA."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1744","DOI":"10.1109\/TPAMI.2011.236","article-title":"Motion detail preserving optical flow estimation","volume":"34","author":"Xu","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","article-title":"Visual tracking: An experimental survey","volume":"36","author":"Smeulders","year":"2014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1109\/TPAMI.2012.132","article-title":"Moving object detection by detecting contiguous outliers in the low-rank representation","volume":"35","author":"Zhou","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1016\/j.cviu.2013.04.002","article-title":"Particle filters and occlusion handling for rigid 2D\u20133D pose tracking","volume":"117","author":"Lee","year":"2013","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1072","DOI":"10.1016\/j.compeleceng.2013.12.004","article-title":"Pedestrian detection and tracking using temporal differencing and HOG features","volume":"40","author":"Barbu","year":"2014","journal-title":"Comput. Electr. Eng."},{"key":"ref_17","unstructured":"Xiong, Y. (2014). Automatic 3D Human Modeling: An Initial Stage towards 2-Way Inside Interaction in Mixed Reality. [Ph.D. Thesis, University of Central Florida Orlando]."},{"key":"ref_18","first-page":"1130","article-title":"Mutual Mapping between Surveillance Video and 2D Geospatial Data","volume":"40","author":"Zhang","year":"2015","journal-title":"Geomat. Inf. Sci. Wuhan Univ."},{"key":"ref_19","unstructured":"Kanade, T., Collins, R., Lipton, A., Burt, P., and Wixson, L. (1998, January 20\u201323). Advances in cooperative multi-sensor video surveillance. Proceedings of the DARPA Image Understanding Workshop, Monterey, CA, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1080\/13658816.2010.505196","article-title":"Spatial video and GIS","volume":"25","author":"Lewis","year":"2011","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1568","DOI":"10.1109\/TVCG.2007.70544","article-title":"Contextualized videos: Combining videos with environment models to support situational understanding","volume":"13","author":"Wang","year":"2007","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_22","unstructured":"Haan, G., Scheuer, J., Vries, R., and Post, F. (2009, January 14\u201315). Egocentric navigation for video surveillance in 3D virtual environments. Proceedings of the IEEE Symposium on 3D User Interfaces, Lafayette, LA, USA."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Chen, K.W., Lee, P.J., and Hung, L. (2011). Egocentric View Transition for Video Monitoring in a Distributed Camera Network, Advances in Multimedia Modeling, Springer.","DOI":"10.1007\/978-3-642-17832-0_17"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Wang, Y., and Bowman, D.A. (2011, January 19\u201320). Effects of navigation design on Contextualized Video Interfaces. Proceedings of the IEEE Symposium on 3D User Interfaces, Singapore.","DOI":"10.1109\/3DUI.2011.5759213"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s005300050043","article-title":"Towards video-based immersive environments","volume":"5","author":"Katkere","year":"1997","journal-title":"Multimed. Syst."},{"key":"ref_26","unstructured":"Roth, P.M., Settgast, V., Widhalm, P., Lancelle, M., Birchbauer, J., Brandle, N., Havemann, S., and Bischof, H. (September, January 30). Next-generation 3D visualization for visual surveillance. Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Klagenfurt, Austria."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Chen, S.C., Lee, C.Y., Lin, C.W., Chan, I.L., Chen, Y.S., Shih, S.W., and Hung, Y.P. (2012, January 16\u201321). 2D and 3D visualization with dual-resolution for surveillance. Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Providence, RI, USA.","DOI":"10.1109\/CVPRW.2012.6239202"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Chen, Y.Y., Huang, Y.H., Cheng, Y.C., and Chen, Y.S. (2010, January 20\u201323). A 3-D surveillance system using multiple integrated cameras. Proceedings of the 2010 IEEE International Conference on Information and Automation (ICIA), Harbin, China.","DOI":"10.1109\/ICINFA.2010.5512016"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Sebe, I., Hu, J., You, S., and Neumann, U. (2003, January 7). 3D video surveillance with augmented virtual environments. Proceedings of the First ACM SIGMM International Workshop on Video Surveillance, Berkeley, CA, USA.","DOI":"10.1145\/982452.982466"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Yang, Y., Chang, M.C., Tu, P., and Lyu, S. (2015, January 27\u201330). Seeing as it happens: Real time 3D video event visualization. Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada.","DOI":"10.1109\/ICIP.2015.7351328"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Baklouti, M., Chamfrault, M., Boufarguine, M., and Guitteny, V. (2009, January 6\u20138). Virtu4D: A dynamic audio-video virtual representation for surveillance systems. Proceedings of the 2009 3rd International Conference on Signals, Circuits and Systems (SCS), Medenine, Tunisia.","DOI":"10.1109\/ICSCS.2009.5412287"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Calbi, A., Regazzoni, C.S., and Marcenaro, L. (2006, January 22\u201324). Dynamic scene reconstruction for efficient remote surveillance. Proceedings of the International Conference on Video and Signal Based Surveillance, Sydney, NSW, Australia.","DOI":"10.1109\/AVSS.2006.45"},{"key":"ref_33","unstructured":"Takehara, T., Nakashima, Y., Nitta, N., and Babaguchi, N. (July, January 28). Digital diorama: Sensing-based real-world visualization. Proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Dortmund, Germany."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MCG.2010.64","article-title":"Spatial Navigation for Context-Aware Video Surveillance","volume":"30","author":"Haan","year":"2010","journal-title":"IEEE Comput. Graph. Appl."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1109\/5.959341","article-title":"Algorithms for cooperative multisensor surveillance","volume":"89","author":"Collins","year":"2001","journal-title":"IEEE Proc."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1109\/TVCG.2013.168","article-title":"Interactive Exploration of Surveillance Video through Action Shot Summarization and Trajectory Visualization","volume":"19","author":"Meghdadi","year":"2013","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Lv, G., Ma, T.T., Ji, H., and Zheng, H. (2015, January 14\u201316). A novel method of surveillance video Summarization based on clustering and background subtraction. Proceedings of the 2015 8th International Congress on Image and Signal Processing (CISP 2015), Shenyang, China.","DOI":"10.1109\/CISP.2015.7407863"},{"key":"ref_38","unstructured":"Rav-Acha, A., Pritch, Y., and Peleg, S. (2006, January 17\u201322). Making a long video short: Dynamic video synopsis. Proceedings of the 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, USA."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1117\/12.526633","article-title":"Combination of color-and object-outline-based method in video segmentation","volume":"5307","author":"Sun","year":"2003","journal-title":"SPIE Proc."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1117\/12.517478","article-title":"A neural network approach to key frame extraction","volume":"5307","author":"Narasimha","year":"2003","journal-title":"SPIE Proc."},{"key":"ref_41","unstructured":"Li, C., Wu, Y.T., Yu, S.S., and Chen, T.H. (2009, January 7\u201310). Motion-focusing key frame extraction and video summarization for lane surveillance system. Proceedings of the 2009 16th IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/4\/94\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:31:11Z","timestamp":1760207471000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/4\/94"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,24]]},"references-count":41,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2017,4]]}},"alternative-id":["ijgi6040094"],"URL":"https:\/\/doi.org\/10.3390\/ijgi6040094","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,24]]}}}