標題: A Surface-based Vacant Space Detection for an Intelligent Parking Lot
作者: Huang, Ching-Chun
Dai, Yu-Shu
Wang, Sheng-Jyh
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Parking space detection;Surface-based detection;Histogram of Oriented Gradients;Bayesian inference
公開日期: 2012
摘要: We 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.
URI: http://hdl.handle.net/11536/135447
ISBN: 978-1-4673-3070-1
978-1-4673-4817-1
期刊: 2012 12TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST-2012)
起始頁: 278
結束頁: 282
Appears in Collections:Conferences Paper