{"id":"https://openalex.org/W2594143900","doi":"https://doi.org/10.1109/icdsp.2016.7868559","title":"Camera anomaly detection based on morphological analysis and deep learning","display_name":"Camera anomaly detection based on morphological analysis and deep learning","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2594143900","doi":"https://doi.org/10.1109/icdsp.2016.7868559","mag":"2594143900"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2016.7868559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2016.7868559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024072648","display_name":"Lingping Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingping Dong","raw_affiliation_strings":["School of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398081","display_name":"Yongliang Zhang","orcid":"https://orcid.org/0000-0002-8781-8504"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongliang Zhang","raw_affiliation_strings":["School of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042456236","display_name":"Conglin Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Conglin Wen","raw_affiliation_strings":["School of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044013282","display_name":"Hongtao Wu","orcid":"https://orcid.org/0000-0002-6442-8159"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Wu","raw_affiliation_strings":["School of Computer Science &Engineering, Hebei University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science &Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7765,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76475854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965999722480774,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7659891843795776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6655455827713013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490187644958496},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5881415605545044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5017905235290527},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44612187147140503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3319091498851776},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05874040722846985}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7659891843795776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6655455827713013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490187644958496},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5881415605545044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5017905235290527},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44612187147140503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3319091498851776},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05874040722846985},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2016.7868559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2016.7868559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1511546623","https://openalex.org/W1986865252","https://openalex.org/W1992934893","https://openalex.org/W1996970712","https://openalex.org/W2025888073","https://openalex.org/W2051797950","https://openalex.org/W2052162983","https://openalex.org/W2103586792","https://openalex.org/W2130586177","https://openalex.org/W2143623918","https://openalex.org/W2145906511","https://openalex.org/W2154317972","https://openalex.org/W2170192505","https://openalex.org/W2354005046","https://openalex.org/W2557283755","https://openalex.org/W2750093089","https://openalex.org/W6656657393","https://openalex.org/W6682017001"],"related_works":["https://openalex.org/W2773120646","https://openalex.org/W2076520961","https://openalex.org/W3027301957","https://openalex.org/W2733060750","https://openalex.org/W2738221750","https://openalex.org/W4245792239","https://openalex.org/W3108696707","https://openalex.org/W4317987726","https://openalex.org/W4285195761","https://openalex.org/W2587789887"],"abstract_inverted_index":{"Recently,":[0],"camera":[1,15,23,62,79,94],"anomaly":[2,24,63],"detection":[3,25,64,106],"has":[4],"attracted":[5],"increasing":[6],"interest":[7],"in":[8,42],"order":[9],"to":[10,31,66,76,81,91,96],"generate":[11],"real-time":[12],"alerts":[13],"of":[14,35,45,47,70,108],"malfunction":[16],"for":[17],"video":[18],"surveillance":[19],"systems.":[20],"The":[21,100],"existing":[22],"methods":[26],"still":[27],"haven't":[28],"enough":[29],"ability":[30,41],"detect":[32,67,77,92],"comprehensive":[33,68],"types":[34,69],"anomaly,":[36],"and":[37,58,86],"lack":[38],"the":[39,43,83,98,105,109],"self-improvement":[40],"case":[44],"miscarriage":[46],"justice":[48],"by":[49],"self-learning.":[50],"So,":[51],"this":[52],"paper":[53],"proposes":[54],"a":[55],"morphological":[56],"analysis":[57,73],"deep":[59,87],"learning":[60,88],"based":[61],"method":[65,111],"anomaly.":[71],"Morphological":[72],"is":[74,89],"used":[75],"simple":[78],"anomalies":[80,95],"accelerate":[82],"processing":[84],"speed,":[85],"utilized":[90],"complicated":[93],"improve":[97],"accuracy.":[99],"experimental":[101],"results":[102],"show":[103],"that":[104],"accuracy":[107],"proposed":[110],"achieves":[112],"more":[113],"than":[114],"95%.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
