{"id":"https://openalex.org/W1991701987","doi":"https://doi.org/10.1145/2811411.2811503","title":"Hybrid model for object orientation classification","display_name":"Hybrid model for object orientation classification","publication_year":2015,"publication_date":"2015-10-09","ids":{"openalex":"https://openalex.org/W1991701987","doi":"https://doi.org/10.1145/2811411.2811503","mag":"1991701987"},"language":"en","primary_location":{"id":"doi:10.1145/2811411.2811503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079211670","display_name":"Austin Hanson","orcid":"https://orcid.org/0000-0002-4163-0282"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Austin Hanson","raw_affiliation_strings":["South Dakota State University","South Dakota State University;"],"affiliations":[{"raw_affiliation_string":"South Dakota State University","institution_ids":["https://openalex.org/I177156846"]},{"raw_affiliation_string":"South Dakota State University;","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049384843","display_name":"George Hamer","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Hamer","raw_affiliation_strings":["South Dakota State University","South Dakota State University;"],"affiliations":[{"raw_affiliation_string":"South Dakota State University","institution_ids":["https://openalex.org/I177156846"]},{"raw_affiliation_string":"South Dakota State University;","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034719381","display_name":"Sung Y. Shin","orcid":"https://orcid.org/0000-0002-2832-5208"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sung Y. Shin","raw_affiliation_strings":["South Dakota State University","South Dakota State University;"],"affiliations":[{"raw_affiliation_string":"South Dakota State University","institution_ids":["https://openalex.org/I177156846"]},{"raw_affiliation_string":"South Dakota State University;","institution_ids":["https://openalex.org/I177156846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079211670"],"corresponding_institution_ids":["https://openalex.org/I177156846"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0623871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.7321682572364807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7125020623207092},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7077492475509644},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7074179649353027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6994513273239136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6683367490768433},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6486209034919739},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5944101214408875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5497312545776367},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5362405776977539},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.43335023522377014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.425135999917984},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20039045810699463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12995219230651855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1184295117855072}],"concepts":[{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.7321682572364807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7125020623207092},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7077492475509644},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7074179649353027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994513273239136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6683367490768433},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6486209034919739},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5944101214408875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5497312545776367},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5362405776977539},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.43335023522377014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.425135999917984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20039045810699463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12995219230651855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1184295117855072},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2811411.2811503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","raw_type":"proceedings-article"},{"id":"pmh:oai:openprairie.sdstate.edu:etd-2762","is_oa":false,"landing_page_url":"https://openprairie.sdstate.edu/cgi/viewcontent.cgi?article=2762&context=etd","pdf_url":null,"source":{"id":"https://openalex.org/S4377196457","display_name":"Open PRAIRIE (South Dakota State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177156846","host_organization_name":"South Dakota State University","host_organization_lineage":["https://openalex.org/I177156846"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1534013043","https://openalex.org/W1888831092","https://openalex.org/W1990517717","https://openalex.org/W1992825118","https://openalex.org/W2002016471","https://openalex.org/W2024495636","https://openalex.org/W2035710656","https://openalex.org/W2043102511","https://openalex.org/W2044164936","https://openalex.org/W2052144980","https://openalex.org/W2063411532","https://openalex.org/W2086401669","https://openalex.org/W2097184312","https://openalex.org/W2099449267","https://openalex.org/W2103018059","https://openalex.org/W2108729336","https://openalex.org/W2112076978","https://openalex.org/W2117539524","https://openalex.org/W2138273245","https://openalex.org/W2144426297","https://openalex.org/W2147334734","https://openalex.org/W2154683974","https://openalex.org/W2156472488","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W3099514962","https://openalex.org/W3142760365","https://openalex.org/W3145074154","https://openalex.org/W4235041105","https://openalex.org/W6605721533","https://openalex.org/W6676449312"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W2114169842","https://openalex.org/W1964725559","https://openalex.org/W2535808783","https://openalex.org/W3109748140"],"abstract_inverted_index":{"Automated":[0],"vehicle":[1,50,78,98],"detection":[2],"and":[3,18,68,81,88],"classification":[4,33],"is":[5,57],"one":[6],"of":[7,38,96],"many":[8],"highly":[9],"researched":[10],"areas":[11],"in":[12,52],"Computer":[13],"Science.":[14],"This":[15],"paper":[16],"proposes":[17],"presents":[19],"a":[20,45,58],"hybridized":[21],"method":[22],"for":[23,62,77],"classifying":[24],"objects":[25],"based":[26],"on":[27],"spatial":[28],"orientation.":[29],"Specifically,":[30],"the":[31,36],"proposed":[32],"system":[34],"explores":[35],"Histogram":[37],"Oriented":[39],"Gradients":[40],"feature":[41,60],"extractor":[42,61],"conjoined":[43],"with":[44,66],"clustering":[46],"algorithm":[47],"to":[48],"classify":[49],"images":[51,64,87],"an":[53,73],"unsupervised":[54],"manner.":[55],"HOG":[56],"well-suited":[59],"dense":[63],"rich":[65],"contours":[67],"edges.":[69],"The":[70],"pairing":[71],"provides":[72],"efficacious":[74],"orientation":[75],"classifier":[76],"images.":[79,99],"Training":[80],"sample":[82],"data":[83],"exceeded":[84],"1.8":[85],"million":[86],"was":[89],"provided":[90],"by":[91],"Carsforsale.com,":[92],"Inc.'s":[93],"vast":[94],"catalogue":[95],"historical":[97]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
