{"id":"https://openalex.org/W2884496896","doi":"https://doi.org/10.1007/s00138-018-0961-8","title":"Joint representation learning of appearance and motion for abnormal event detection","display_name":"Joint representation learning of appearance and motion for abnormal event detection","publication_year":2018,"publication_date":"2018-07-26","ids":{"openalex":"https://openalex.org/W2884496896","doi":"https://doi.org/10.1007/s00138-018-0961-8","mag":"2884496896"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-018-0961-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00138-018-0961-8","pdf_url":null,"source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"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":"Machine Vision and Applications","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/A5101783265","display_name":"Jongmin Yu","orcid":"https://orcid.org/0000-0002-0718-9948"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongmin Yu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, GIST, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, GIST, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068924885","display_name":"Kin\u2010Choong Yow","orcid":"https://orcid.org/0000-0002-8610-661X"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kin Choong Yow","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, GIST, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, GIST, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056743652","display_name":"Moongu Jeon","orcid":"https://orcid.org/0000-0002-2775-7789"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moongu Jeon","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, GIST, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, GIST, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101783265"],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":2.8687,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92763842,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"7","first_page":"1157","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7895803451538086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7781016826629639},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7139261960983276},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6999495029449463},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6609703898429871},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.582064688205719},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5692300200462341},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5512923002243042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5453632473945618},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5238335728645325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44536322355270386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36717408895492554}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7895803451538086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781016826629639},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7139261960983276},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6999495029449463},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6609703898429871},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.582064688205719},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5692300200462341},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5512923002243042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5453632473945618},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5238335728645325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44536322355270386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36717408895492554},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00138-018-0961-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00138-018-0961-8","pdf_url":null,"source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"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":"Machine Vision and Applications","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":44,"referenced_works":["https://openalex.org/W1484830317","https://openalex.org/W1522734439","https://openalex.org/W1571604258","https://openalex.org/W1599220855","https://openalex.org/W1686810756","https://openalex.org/W1931450083","https://openalex.org/W1983364832","https://openalex.org/W1984420062","https://openalex.org/W1991597092","https://openalex.org/W1994530392","https://openalex.org/W1996904744","https://openalex.org/W1999499433","https://openalex.org/W2012931101","https://openalex.org/W2016053056","https://openalex.org/W2017060715","https://openalex.org/W2021659075","https://openalex.org/W2024868105","https://openalex.org/W2054554150","https://openalex.org/W2062227835","https://openalex.org/W2068730032","https://openalex.org/W2105101328","https://openalex.org/W2109389234","https://openalex.org/W2110383222","https://openalex.org/W2122361470","https://openalex.org/W2125105611","https://openalex.org/W2136655611","https://openalex.org/W2138092272","https://openalex.org/W2142412278","https://openalex.org/W2149021215","https://openalex.org/W2154579312","https://openalex.org/W2163605009","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2211722331","https://openalex.org/W2341058432","https://openalex.org/W2471695703","https://openalex.org/W2559655401","https://openalex.org/W2579718262","https://openalex.org/W2950091778","https://openalex.org/W2952186347","https://openalex.org/W2962791923","https://openalex.org/W2963524571","https://openalex.org/W3151922143"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
