Integration of GIS and video surveillance

International Journal of Geographical Information Science

Volumn 30, Issue 10, 2016, Pages 2089-2107

  Milosavljević, Aleksandar ^a   Rančić, Dejan ^a   Dimitrijević, Aleksandar ^a   Predić, Bratislav ^a   Mihajlović, Vladan ^a  

^a UNIVERSITY OF NI   (Serbia)

Author keywords

augmented reality; Geographic information system; video surveillance; virtual reality

Indexed keywords

GIS; MONITORING SYSTEM; VIDEOGRAPHY; VIRTUAL REALITY;

EID: 84961211841     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2016.1161197     Document Type: Article

References (27)

1. W.Dornberger, 1954. V-2. New York: Ballantine Books, ISBN: 978-0553126600.
2. C.Everitt,, 2001. Projective texture mapping. White Paper, nVidia Corporation. Available from: http://developer.download.nvidia.com/assets/gamedev/docs/projective_texture_mapping.pdf. [Accessed 1November 2015].
3. C.Everitt,, A.Rege,, and C.Cebenoyan,, 2001. Hardware shadow mapping. White Paper, nVidia Corporation. Available from: http://developer.download.nvidia.com/assets/gamedev/docs/shadow_mapping.pdf. [Accessed 1November 2015].
4. FOLDOC, 2011. Video. Free On-Line Dictionary Of Computing (FOLDOC), Available from: http://foldoc.org/video [Accessed 1November 2015].
5. P.Ghadirian, and I.D.Bishop,, 2008. Integration of augmented reality and GIS: A new approach to realistic landscape visualisation. Landscape and Urban Planning, 86, 226–232. doi:10.1016/j.landurbplan.2008.03.004
6. A.Girgensohn,, et al., 2007. Effects of presenting geographic context on tracking activity between cameras. In: Proc. of SIGCHI Conf. Human Factors in Computing Systems (CHI 2007), April 28–May 3 2007, San Jose, CA, 1167–1176.
7. C.Greston,, 2010. CCTV monitors - stay secure in mind and home, EzineArticles.com. Available from: http://ezinearticles.com/?CCTV-Monitors—Stay-Secure-in-Mind-and-Home&id=3756658 [Accessed 1November 2015].
8. G.D.Haan,, H.Piguillet,, and F.H.Post,, 2010, Spatial navigation for context-aware video surveillance. IEEE Computer Graphics and Applications, 30 (5), 20–31. doi:10.1109/MCG.2010.64
9. G.D.Haan,, et al., 2009. Egocentric navigation for video surveillance in 3D virtual environments. In Proc. of IEEE Symp. on 3D User Interfaces (3DUI’09), 14–15March 2009, Lafayette, LA, 103–110.
10. N.Kawasaki, and Y.Takai,, 2002. Video monitoring system for security surveillance based on augmented reality. In: Proceedings of the 12th international conference on artificial reality and telexistence, 4–6December 2002, Tokyo. Japan, 180–181.
11. P.Lewis,, S.Fotheringham,, and A.Winstanley,, 2011, Spatial video and GIS. International Journal of Geographical Information Science, 25 (5), 697–716. doi:10.1080/13658816.2010.505196
12. E.Louw,, 2009. Intelligent video surveillance and GIS. Hi-tech security solutions, the journal for security, operations & risk management. Available from: http://securitysa.com/article.aspx?pklarticleid=5560 [Accessed 1November 2015].
13. P.Milgram, and F.Kishino,, 1994, A taxonomy of mixed reality visual displays. IEICE Transactions on Information Systems, E77–D (12), 1321–1329. Available from: http://search.ieice.org/bin/summary.php?id=e77-d_12_1321
14. A.Milosavljević,, A.Dimitrijević,, and D.Rančić,, 2010, GIS-augmented video surveillance. International Journal of Geographical Information Science, 24 (9), 1415–1433. doi:10.1080/13658811003792213
15. S.Min,, et al., 2007. Hybrid tracking for augmented reality GIS registration. In: Proceedings of the 2007 Japan-China Joint Workshop on Frontier of Computer Science and Technology, 1–3November 2007, Wuhan. China, 139–145.
16. J.E.Mower,, 2009, Creating and delivering augmented scenes. International Journal of Geographical Information Science, 23 (8), 993–1011. doi:10.1080/13658810802001313
17. U.Neumann,, et al., 2003. Augmented virtual environments (AVE): dynamic fusion of imagery and 3D models. In Proc. of the IEEE Virtual Reality (VR 2003), 22–26March 2003, 61–67.
18. I.Oner Sebe,, et al., 2003. 3D video surveillance with augmented virtual environments. In: First ACM SIGMM international workshop on Video surveillance, 2–8November 2003, Berkeley, CA, 107–112.
19. C.S.Regazzoni,, et al., 2010, Video analytics for surveillance: theory and practice [from the guest editors]. IEEE Signal Processing Magazine, 27 (5), 16–17. doi:10.1109/MSP.2010.937451
20. th IEEE international conference on advanced video and signal based surveillance (AVSS’08), 1–3September 2008, Santa Fe, NM, 245–251.
21. H.S.Sawhney,, et al., 2002. Video flashlights: real time rendering of multiple videos for immersive model visualization. In Proc. of 13th Eurographics Workshop on Rendering (EGWR’02), The Eurographics Association, 157–168.
22. G.Schall,, et al., 2009, Handheld augmented reality for underground infrastructure visualization. Personal and Ubiquitous Computing, 13 (4), 281–291. doi:10.1007/s00779-008-0204-5
23. M.Segal,, et al., 1992. Fast shadows and lighting effects using texture mapping. In: J. J. Thomas, ed. Proceedings of SIGGRAPH ’92. Richland, WA: Battelle Pacific Northwest Labs, 249–252. doi:10.1145/133994.134071
24. G.Sourimant,, L.Morin,, and K.Bouatouch,, 2007. GPS, GIS and video registration for building reconstruction. In: Proceedings of the 2007 IEEE international conference on image processing (Vol. 6), 16September – 19 October 2007, San Antonio, TX, 401–404.
25. X.Wang,, 2013, Intelligent multi-camera video surveillance: A review. Pattern Recognition Letters, 34 (1), 3–19. doi:10.1016/j.patrec.2012.07.005
26. Y.Wang,, et al., 2008, Effects of video placement and spatial context presentation on path reconstruction tasks with contextualized videos. IEEE Transactions on Visualization and Computer Graphics, 14 (6), 1755–1762. doi:10.1109/TVCG.2008.126
27. Y.Wang,, et al., 2007, Contextualized videos: combining videos with environment models to support situational understanding. IEEE Transactions on Visualization and Computer Graphics, 13 (6), 1568–1575. doi:10.1109/TVCG.2007.70544