Abstract
Toward a really useful navigation system, utilizing spherical panoramic photos with maps like Google Street View is efficient. Users expect the system to be available in all areas they go. Conventional shooting methods obtain the shot position from GPS sensor. However, indoor areas are out of GPS range. Furthermore, most urban public indoor areas are crowded with pedestrians. Even if we blur the pedestrians in a photo, the photos with blurring are not useful for scenic information. Thus, we propose a method which simultaneously subtracts pedestrians based on background subtraction method and generates location metadata by manually input from maps. Using these methods, we achieved an underground panoramic view system which displays no pedestrians.
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References
Google Street View, http://www.google.com/intl/en_us/help/maps/streetview/
earthmine, http://www.earthmine.com/index
Nishio, N., Sakamoto, N., Arai, I.: Adjunct Proceedings of Pervasive 2009, pp. 269–272 (2009)
Kawai, N., Machikita, K., Sato, T., Yokoya, N.: Proc. Asian Conf. on Computer Vision (ACCV(2)), pp. 359–370 (2009)
Cheng, Y., Chawathe, Y., LaMarca, A., Krumm, J.: Proceeings of Mobisys 2005, pp. 233–245 (2005)
Harter, A., Hopper, A., Steggles, P., Ward, A., Webster, P.: The Fifth Annual ACM/IEEE International Conference on Mobile Computing and Networking, MOBICOM 1999, pp. 59–68 (1999)
Yahoo! Maps (JAPAN), http://map.yahoo.co.jp/chika
Lowe, D.G.: International Journal of Computer Vision 60(2), 91 (2004)
Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: Computer Vision and Image Understanding (CVIU) 110(3), 346 (2008)
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Arai, I. et al. (2010). Pano UMECHIKA: A Crowded Underground City Panoramic View System. In: de Leon F. de Carvalho, A.P., RodrÃguez-González, S., De Paz Santana, J.F., RodrÃguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_22
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DOI: https://doi.org/10.1007/978-3-642-14883-5_22
Publisher Name: Springer, Berlin, Heidelberg
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