Parking-vehicles recognition using spatial temporal data (a study of mobile robot surveillance system using spatial temporal GIS part 2)

Kiichirou Ishikawa, Jun Ichi Meguro, Yoshiharu Amano, Takumi Hashizume, Jun Ichi Takiguchi, Ryujirou Kurosaki, Michinori Hatayama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
Pages151-157
Number of pages7
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Workshop on Safety, Security and Rescue Robotics - Kobe, Japan
Duration: 2005 Jun 62005 Jun 6

Publication series

NameProceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
Volume2005

Conference

Conference2005 IEEE International Workshop on Safety, Security and Rescue Robotics
CountryJapan
CityKobe
Period05/6/605/6/6

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ishikawa, K., Meguro, J. I., Amano, Y., Hashizume, T., Takiguchi, J. I., Kurosaki, R., & Hatayama, M. (2005). Parking-vehicles recognition using spatial temporal data (a study of mobile robot surveillance system using spatial temporal GIS part 2). In Proceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics (pp. 151-157). [1501264] (Proceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics; Vol. 2005). https://doi.org/10.1109/SSRR.2005.1501264