AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER

Saved in:
Bibliographic Details
Main Author: unknown (author)
Format: masterThesis
Published: 2020
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/139171/1/MS_THESIS_JunzhaoLiu_2014_An_Image_Based_Vacant_Parking_Detection_System__Using_Hybrid_Features..pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513395734085632
author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/139171/1/MS_THESIS_JunzhaoLiu_2014_An_Image_Based_Vacant_Parking_Detection_System__Using_Hybrid_Features..pdf
AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER. Masters thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/139171/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
Engineering
Electrical
dc.title.none.fl_str_mv AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_3a5ce4f32ec383d792cbc910bd31249b
identifier_str_mv AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER. Masters thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::139171
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIERComputerEngineeringElectricalThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/139171/1/MS_THESIS_JunzhaoLiu_2014_An_Image_Based_Vacant_Parking_Detection_System__Using_Hybrid_Features..pdf AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/139171/2020info:eu-repo/semantics/openAccessunknownoai::1391712019-11-01T15:41:46Z
spellingShingle AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
unknown
Computer
Engineering
Electrical
status_str publishedVersion
title AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
title_full AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
title_fullStr AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
title_full_unstemmed AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
title_short AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
title_sort AN IMAGE-BASED VACANT PARKING DETECTION SYSTEM USING HYBRID FEATURES AND A BAYESIAN CLASSIFIER
topic Computer
Engineering
Electrical
url https://eprints.kfupm.edu.sa/id/eprint/139171/1/MS_THESIS_JunzhaoLiu_2014_An_Image_Based_Vacant_Parking_Detection_System__Using_Hybrid_Features..pdf