TY - GEN
T1 - Parking-vehicles recognition using spatial temporal data (a study of mobile robot surveillance system using spatial temporal GIS part 2)
AU - Ishikawa, Kiichirou
AU - Meguro, Jun Ichi
AU - Amano, Yoshiharu
AU - Hashizume, Takumi
AU - Takiguchi, Jun Ichi
AU - Kurosaki, Ryujirou
AU - Hatayama, Michinori
PY - 2005
Y1 - 2005
N2 - In this paper, the unique omni-directional motion stereo method featuring robust epipolar estimation and hybrid use of the feature/area based matching, and the change-region recognition technique which uses dense color-textured depth map and 3D-GIS data for segmentation, are presented. The dense stereo imaging data, which is acquired by the coupled use of an ODV (Omni-Directional Vision) and a GPS/INS (Inertial Navigation Systems) by the motion stereo method, is classified in "change region" or "registered region" by the 3D-GIS's geometric model of the building. Hence, the changeable region like a parking-vehicle on the road is modeled as a hexahedron through surface recognition process, the position of vertexes and the image texture of three surfaces are measured, and are additionally registered in the Spatial Temporal GIS (Geographic Information System) as new object data. The proposed method can be applicable to a mobile robot surveillance system which is used in a site immediately after a disaster.
AB - In this paper, the unique omni-directional motion stereo method featuring robust epipolar estimation and hybrid use of the feature/area based matching, and the change-region recognition technique which uses dense color-textured depth map and 3D-GIS data for segmentation, are presented. The dense stereo imaging data, which is acquired by the coupled use of an ODV (Omni-Directional Vision) and a GPS/INS (Inertial Navigation Systems) by the motion stereo method, is classified in "change region" or "registered region" by the 3D-GIS's geometric model of the building. Hence, the changeable region like a parking-vehicle on the road is modeled as a hexahedron through surface recognition process, the position of vertexes and the image texture of three surfaces are measured, and are additionally registered in the Spatial Temporal GIS (Geographic Information System) as new object data. The proposed method can be applicable to a mobile robot surveillance system which is used in a site immediately after a disaster.
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U2 - 10.1109/SSRR.2005.1501264
DO - 10.1109/SSRR.2005.1501264
M3 - Conference contribution
AN - SCOPUS:33745506650
SN - 078038945X
SN - 9780780389458
T3 - Proceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
SP - 151
EP - 157
BT - Proceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
T2 - 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
Y2 - 6 June 2005 through 6 June 2005
ER -