{"id":"https://openalex.org/W2043581115","doi":"https://doi.org/10.1007/s00530-014-0427-4","title":"Learning for classification of traffic-related object on RGB-D data","display_name":"Learning for classification of traffic-related object on RGB-D data","publication_year":2014,"publication_date":"2014-10-20","ids":{"openalex":"https://openalex.org/W2043581115","doi":"https://doi.org/10.1007/s00530-014-0427-4","mag":"2043581115"},"language":"en","primary_location":{"id":"doi:10.1007/s00530-014-0427-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-014-0427-4","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-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/A5044918612","display_name":"Yingjie Xia","orcid":"https://orcid.org/0000-0002-4642-2503"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingjie Xia","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110123654","display_name":"Xingmin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingmin Shi","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100652240","display_name":"Na Zhao","orcid":"https://orcid.org/0000-0002-0994-8733"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Zhao","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044918612"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":0.4936,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69556976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":"1","first_page":"129","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944999814033508,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7615395188331604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707947850227356},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6890522837638855},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6245413422584534},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5897670984268188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5595904588699341},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5364696383476257},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5358155369758606},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5103940367698669},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46608608961105347},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4658805727958679},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3731701970100403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20335537195205688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615395188331604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707947850227356},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6890522837638855},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6245413422584534},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5897670984268188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5595904588699341},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5364696383476257},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5358155369758606},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5103940367698669},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46608608961105347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4658805727958679},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3731701970100403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20335537195205688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00530-014-0427-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-014-0427-4","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1963717551","https://openalex.org/W1964251476","https://openalex.org/W1971756996","https://openalex.org/W1973394488","https://openalex.org/W1984797383","https://openalex.org/W1991959383","https://openalex.org/W2006946631","https://openalex.org/W2007888975","https://openalex.org/W2010632104","https://openalex.org/W2012675325","https://openalex.org/W2013552745","https://openalex.org/W2032561514","https://openalex.org/W2041800626","https://openalex.org/W2062098435","https://openalex.org/W2069428064","https://openalex.org/W2079444808","https://openalex.org/W2090528285","https://openalex.org/W2093537603","https://openalex.org/W2095212472","https://openalex.org/W2099606917","https://openalex.org/W2109154902","https://openalex.org/W2124169924","https://openalex.org/W2134601920","https://openalex.org/W2156402652","https://openalex.org/W2163632754"],"related_works":["https://openalex.org/W2889302474","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W2767833206","https://openalex.org/W3109748140","https://openalex.org/W2045053268","https://openalex.org/W2433492094"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}