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dc.contributor.authorHuang, Ching-Chunen_US
dc.contributor.authorDai, Yu-Shuen_US
dc.contributor.authorWang, Sheng-Jyhen_US
dc.date.accessioned2017-04-21T06:50:00Z-
dc.date.available2017-04-21T06:50:00Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-3070-1en_US
dc.identifier.isbn978-1-4673-4817-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/135447-
dc.description.abstractWe proposed a surface-based vacant parking space detection system. Unlike many car-oriented or space-oriented methods, the proposed system is parking-lot-oriented. In the system, we treat the whole parking lot as a structure consisting of plentiful surfaces. A surface-based hierarchical framework is then proposed to integrate the 3-D scene information with the patch-based image observation for the inference of vacant space. To be robust, the feature vector of each image patch is extracted based on the Histogram of Oriented Gradients (HOG) approach. By incorporating these texture features into the proposed probabilistic models, we could systematically infer the optimal hypothesis of parking statuses while dealing with occlusion effect, shadow effect, perspective distortion, and fluctuation of lighting condition in both day time and night time.en_US
dc.language.isoen_USen_US
dc.subjectParking space detectionen_US
dc.subjectSurface-based detectionen_US
dc.subjectHistogram of Oriented Gradientsen_US
dc.subjectBayesian inferenceen_US
dc.titleA Surface-based Vacant Space Detection for an Intelligent Parking Loten_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 12TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST-2012)en_US
dc.citation.spage278en_US
dc.citation.epage282en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000317002000054en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper