TY - GEN
T1 - Pano UMECHIKA
T2 - A crowded underground city panoramic view system
AU - Arai, Ismail
AU - Hori, Maiya
AU - Kawai, Norihiko
AU - Abe, Yohei
AU - Ichikawa, Masahiro
AU - Satonaka, Yusuke
AU - Nitta, Tatsuki
AU - Nitta, Tomoyuki
AU - Fujii, Harumitsu
AU - Mukai, Masaki
AU - Horimi, Soichiro
AU - Makita, Koji
AU - Kanbara, Masayuki
AU - Nishio, Nobuhiko
AU - Yokoya, Naokazu
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80053017650&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053017650&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14883-5_22
DO - 10.1007/978-3-642-14883-5_22
M3 - Conference contribution
AN - SCOPUS:80053017650
SN - 9783642148828
T3 - Advances in Intelligent and Soft Computing
SP - 173
EP - 180
BT - Distributed Computing and Artificial Intelligence
A2 - Carvalho, Andre Ponce de Leon F
A2 - Gonzalez, Sara Rodriguez
A2 - Paz Santana, Juan
A2 - Corchado Rodriguez, Juan
ER -