{"dcterms:modified":"2023-07-19","dcterms:creator":"DR-NTU (Data)","@type":"ore:ResourceMap","@id":"https://researchdata.ntu.edu.sg/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.21979/N9/OTHTTC","ore:describes":{"citation:depositor":"Sun Meng","kindOfData":"Experimental Data","dateOfDeposit":"2017-10-26","subject":"Engineering","title":"Gun and cash images","software":{"citation:softwareName":"MATLAB"},"publication":{"publicationCitation":"M. Sun and W. P. Tay, \"Privacy-preserving nonparametric decentralized detection,'' in  IEEE Int. Conf. Acoustics, Speech, and Signal Processing,  Mar. 2016.\r\n\r\nX. He and W. P. Tay, \"Multilayer sensor network for information privacy,'' in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Mar. 2017."},"citation:dsDescription":{"citation:dsDescriptionValue":"The dataset contains two datasets, which record 200/600 images. \r\n 'GunCash80X80NO200.mat' contains one type of gun and cash\r\n '3gun80X80No600.mat' contains three types of gun and cash\r\n\r\nThe data format is matlab mat file, which can be loaded and displayed through the m file \"load_GunCash_plot.m\".\r\n\r\nAll the images are recorded as 80x80 images, but each image is recorded as a 6400x1 vector.\r\n\r\nAfter load the file into matlab, you will find the file \"alldata\", which is 6402xN and \r\nthe sample number N equals 200 or 600. \r\nNote that the last two rows of \"alldata\" are the labels of the images.\r\nThe 6401 row is the label(1/-1) to indicate the existence of a gun, \r\nThe 6402 row is the label(1/-1) to indicate the existence of a cash note.\r\n\r\nWe use a webcam to record images, which may depict a gun and/or cash (dollar notes).\r\nThe presence or absence of a gun is the public hypothesis, and the presence or absence of cash is the private hypothesis. \r\nThe gun and the cash are randomly translated and rotated in each 80x80 grayscale image.\r\nThe target is to detect the public hypothesis and make the private hypothesis cannot be detected.","citation:dsDescriptionDate":"2017-4-28"},"citation:datasetContact":[{"citation:datasetContactName":"Sun Meng","citation:datasetContactAffiliation":"Nanyang Technological University"},{"citation:datasetContactName":"Tay Wee Peng","citation:datasetContactAffiliation":"Nanyang Technological University"}],"author":[{"citation:authorName":"He, Xin","citation:authorAffiliation":"Southern University of Science and Technology"},{"citation:authorName":"Tay, Wee Peng","citation:authorAffiliation":"Nanyang Technological University"},{"citation:authorName":"Sun, Meng","citation:authorAffiliation":"Nanyang Technological University"}],"grantNumber":[{"citation:grantNumberAgency":"Ministry of Education (MOE)","citation:grantNumberValue":"Academic Research Fund Tier 2 grants MOE2013-T2-2-006"},{"citation:grantNumberAgency":"Ministry of Education (MOE)","citation:grantNumberValue":"Academic Research Fund Tier 2 grants MOE2014- T2-1-028"}],"citation:keyword":[{"citation:keywordValue":"IoT"},{"citation:keywordValue":"Privacy"},{"citation:keywordValue":"Gun Cash"},{"citation:keywordValue":"multi-label"}],"@id":"doi:10.21979/N9/OTHTTC","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.3","schema:name":"Gun and cash images","schema:dateModified":"Wed Jun 13 11:36:51 SGT 2018","schema:datePublished":"2017-10-31","schema:license":"http://creativecommons.org/licenses/by-nc/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"DR-NTU 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