完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Huang, Ching-Chun | en_US |
dc.contributor.author | Wang, Sheng-Jyh | en_US |
dc.contributor.author | Chang, Yao-Jen | en_US |
dc.contributor.author | Chen, Tsuhan | en_US |
dc.date.accessioned | 2014-12-08T15:47:45Z | - |
dc.date.available | 2014-12-08T15:47:45Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.isbn | 978-1-4244-1483-3 | en_US |
dc.identifier.issn | 1520-6149 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/31931 | - |
dc.description.abstract | hi this paper, a 3-layer Bayesian hierarchical detection framework (BHDF) is proposed for robust parking space detection. In practice, the challenges of the parking space detection problem come from luminance variations, inter-occlusions among cars, and occlusions caused by environmental obstacles. Instead of determining the status of parking spaces one by one, the proposed BHDF framework models the inter-occluded patterns as semantic knowledge and couple local classifiers with adjacency constraints to determine the status of parking spaces in a row-by-row manner. By applying the BHDF to the parking space detection problem, the available parking spaces and the labeling of parked cars can be achieved in a robust and efficient manner. Furthermore, this BHDF framework is generic enough to be used for various kinds of detection and segmentation applications. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | graphical models | en_US |
dc.subject | segmentation | en_US |
dc.subject | semantic detection | en_US |
dc.subject | optimization | en_US |
dc.subject | Bayesian framework | en_US |
dc.title | A Bayesian hierarchical detection framework for parking space detection | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | en_US |
dc.citation.spage | 2097 | en_US |
dc.citation.epage | 2100 | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.identifier.wosnumber | WOS:000257456701186 | - |
顯示於類別: | 會議論文 |